{
 "nodes": [
  {
   "id": 0,
   "label": "3D 与高斯泼溅",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/3d-and-gaussian-splatting.html",
   "read_min": 7,
   "refs": 14
  },
  {
   "id": 1,
   "label": "AI Agent（智能体）技术与生态",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-agents.html",
   "read_min": 20,
   "refs": 58
  },
  {
   "id": 2,
   "label": "AI for Science",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-for-science.html",
   "read_min": 14,
   "refs": 33
  },
  {
   "id": 3,
   "label": "AI 产品与 UX",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-product-and-ux.html",
   "read_min": 9,
   "refs": 16
  },
  {
   "id": 4,
   "label": "AI 发展史与关键里程碑",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-history-and-milestones.html",
   "read_min": 11,
   "refs": 25
  },
  {
   "id": 5,
   "label": "AI 基础设施与算力",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-infrastructure-and-compute.html",
   "read_min": 25,
   "refs": 79
  },
  {
   "id": 6,
   "label": "AI 安全与对齐（AI Safety and Alignment）",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-safety-and-alignment.html",
   "read_min": 25,
   "refs": 67
  },
  {
   "id": 7,
   "label": "AI 安全攻防",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-security-threats-and-defense.html",
   "read_min": 9,
   "refs": 20
  },
  {
   "id": 8,
   "label": "AI 搜索与深度研究（AI Search & Deep Research）",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-search-and-deep-research.html",
   "read_min": 13,
   "refs": 26
  },
  {
   "id": 9,
   "label": "AI 编程工具与编程智能体",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-coding-tools.html",
   "read_min": 23,
   "refs": 62
  },
  {
   "id": 10,
   "label": "AI 评测实践",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-evaluation-practices.html",
   "read_min": 13,
   "refs": 27
  },
  {
   "id": 11,
   "label": "Agent 工程实践（Agent Engineering Patterns）",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/agent-engineering-patterns.html",
   "read_min": 17,
   "refs": 40
  },
  {
   "id": 12,
   "label": "Agent 框架与工具链",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/agent-frameworks-and-tooling.html",
   "read_min": 13,
   "refs": 23
  },
  {
   "id": 13,
   "label": "GPU 编程与算子：CUDA、Triton 与 FlashAttention",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/gpu-kernels-and-cuda.html",
   "read_min": 14,
   "refs": 33
  },
  {
   "id": 14,
   "label": "MLOps 与 LLMOps",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/mlops-and-llmops.html",
   "read_min": 12,
   "refs": 27
  },
  {
   "id": 15,
   "label": "MoE 稀疏架构",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/mixture-of-experts.html",
   "read_min": 13,
   "refs": 29
  },
  {
   "id": 16,
   "label": "RAG 与上下文工程（Context Engineering）与智能体记忆",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/rag-and-memory.html",
   "read_min": 28,
   "refs": 80
  },
  {
   "id": 17,
   "label": "Transformer 架构原理",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/transformer-architecture.html",
   "read_min": 13,
   "refs": 33
  },
  {
   "id": 18,
   "label": "企业 AI 落地",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-enterprise-adoption.html",
   "read_min": 9,
   "refs": 14
  },
  {
   "id": 19,
   "label": "分布式训练与并行策略",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/distributed-training-and-parallelism.html",
   "read_min": 8,
   "refs": 20
  },
  {
   "id": 20,
   "label": "分词与嵌入",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/tokenization-and-embeddings.html",
   "read_min": 13,
   "refs": 37
  },
  {
   "id": 21,
   "label": "可解释性与机制分析",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/interpretability-and-mechanistic-analysis.html",
   "read_min": 9,
   "refs": 18
  },
  {
   "id": 22,
   "label": "合成数据与数据引擎",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/synthetic-data-and-data-engines.html",
   "read_min": 8,
   "refs": 12
  },
  {
   "id": 23,
   "label": "后训练与对齐方法",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/post-training-and-alignment-methods.html",
   "read_min": 11,
   "refs": 27
  },
  {
   "id": 24,
   "label": "图学习与知识图谱",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/graph-neural-networks-and-knowledge-graphs.html",
   "read_min": 8,
   "refs": 17
  },
  {
   "id": 25,
   "label": "多模态 AI（Multimodal AI）",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/multimodal-ai.html",
   "read_min": 21,
   "refs": 71
  },
  {
   "id": 26,
   "label": "大模型评测基准（Benchmarks）",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-benchmarks.html",
   "read_min": 19,
   "refs": 58
  },
  {
   "id": 27,
   "label": "对话助手与语音（Conversational Assistants & Voice）",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/conversational-assistants-and-voice.html",
   "read_min": 15,
   "refs": 36
  },
  {
   "id": 28,
   "label": "小模型与高效模型",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/efficient-and-small-models.html",
   "read_min": 12,
   "refs": 28
  },
  {
   "id": 29,
   "label": "开放权重（开源）模型生态",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/open-weight-models.html",
   "read_min": 24,
   "refs": 62
  },
  {
   "id": 30,
   "label": "开源 AI 工具链",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/open-source-ai-tooling.html",
   "read_min": 13,
   "refs": 28
  },
  {
   "id": 31,
   "label": "强化学习前沿",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/reinforcement-learning-frontier.html",
   "read_min": 10,
   "refs": 24
  },
  {
   "id": 32,
   "label": "成本与性能工程",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-cost-and-performance-optimization.html",
   "read_min": 9,
   "refs": 14
  },
  {
   "id": 33,
   "label": "扩散与图像生成",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/diffusion-and-image-generation.html",
   "read_min": 9,
   "refs": 26
  },
  {
   "id": 34,
   "label": "推理优化与服务：从 PagedAttention 到分离式部署",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/inference-optimization-and-serving.html",
   "read_min": 12,
   "refs": 30
  },
  {
   "id": 35,
   "label": "推理模型与测试时计算（Test-Time Compute）",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/reasoning-and-test-time-compute.html",
   "read_min": 18,
   "refs": 43
  },
  {
   "id": 36,
   "label": "推荐系统与 AI（Recommender Systems & AI）",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/recommender-systems-and-ai.html",
   "read_min": 11,
   "refs": 28
  },
  {
   "id": 37,
   "label": "提示工程与上下文工程（Prompt & Context Engineering）",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/prompt-and-context-engineering.html",
   "read_min": 15,
   "refs": 30
  },
  {
   "id": 38,
   "label": "检索深入：稀疏、稠密、混合检索与向量搜索（Retrieval & Vector Search）",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/retrieval-and-vector-search.html",
   "read_min": 13,
   "refs": 36
  },
  {
   "id": 39,
   "label": "视频生成与世界模型",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/video-generation-and-world-models.html",
   "read_min": 8,
   "refs": 25
  },
  {
   "id": 40,
   "label": "软硬协同设计（AI Hardware-Software Co-Design）",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/ai-hardware-software-codesign.html",
   "read_min": 14,
   "refs": 25
  },
  {
   "id": 41,
   "label": "通用大模型前沿格局（2025–2026）",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/llm-frontier-2026.html",
   "read_min": 26,
   "refs": 81
  },
  {
   "id": 42,
   "label": "量化与模型压缩",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/quantization-and-model-compression.html",
   "read_min": 12,
   "refs": 27
  },
  {
   "id": 43,
   "label": "长上下文技术：位置外推、稀疏注意力与状态空间模型",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/long-context-techniques.html",
   "read_min": 12,
   "refs": 33
  },
  {
   "id": 44,
   "label": "音乐与音频生成",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/audio-music-and-speech-generation.html",
   "read_min": 9,
   "refs": 18
  },
  {
   "id": 45,
   "label": "预训练与缩放定律",
   "domain": "ai",
   "domain_label": "人工智能（AI）",
   "url": "ai/pretraining-and-scaling-laws.html",
   "read_min": 11,
   "refs": 28
  },
  {
   "id": 46,
   "label": "AI 集群网络（Networking for AI Clusters）",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/networking-for-ai-clusters.html",
   "read_min": 12,
   "refs": 27
  },
  {
   "id": 47,
   "label": "FPGA 与可重构计算（FPGA and Reconfigurable Computing）",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/fpga-and-reconfigurable-computing.html",
   "read_min": 10,
   "refs": 24
  },
  {
   "id": 48,
   "label": "GPU 架构深入与 CUDA",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/gpu-architecture-and-cuda.html",
   "read_min": 21,
   "refs": 63
  },
  {
   "id": 49,
   "label": "IoT 与嵌入式硬件",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/iot-and-embedded-hardware.html",
   "read_min": 8,
   "refs": 15
  },
  {
   "id": 50,
   "label": "RISC-V 与开放硬件",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/risc-v-and-open-hardware.html",
   "read_min": 7,
   "refs": 16
  },
  {
   "id": 51,
   "label": "传感器与 MEMS",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/sensors-and-mems.html",
   "read_min": 9,
   "refs": 21
  },
  {
   "id": 52,
   "label": "先进封装",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/advanced-packaging.html",
   "read_min": 12,
   "refs": 26
  },
  {
   "id": 53,
   "label": "光刻与半导体设备",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/lithography-and-equipment.html",
   "read_min": 17,
   "refs": 25
  },
  {
   "id": 54,
   "label": "半导体材料",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/semiconductor-materials.html",
   "read_min": 13,
   "refs": 25
  },
  {
   "id": 55,
   "label": "存储技术",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/memory-technologies.html",
   "read_min": 14,
   "refs": 30
  },
  {
   "id": 56,
   "label": "数据中心基础设施（Data Center Infrastructure and Power）",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/data-center-infrastructure-and-power.html",
   "read_min": 10,
   "refs": 26
  },
  {
   "id": 57,
   "label": "机器人硬件与执行器",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/robot-hardware-and-actuators.html",
   "read_min": 8,
   "refs": 17
  },
  {
   "id": 58,
   "label": "消费电子与移动硬件",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/consumer-and-mobile-hardware.html",
   "read_min": 11,
   "refs": 27
  },
  {
   "id": 59,
   "label": "硅光与光互连（Optical Interconnects and Photonics）",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/optical-interconnects-and-photonics.html",
   "read_min": 8,
   "refs": 20
  },
  {
   "id": 60,
   "label": "算力市场与 GPU 云（Compute Market and GPU Cloud）",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/compute-market-and-gpu-cloud.html",
   "read_min": 9,
   "refs": 26
  },
  {
   "id": 61,
   "label": "类脑与新型计算（Neuromorphic and Novel Computing）",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/neuromorphic-and-novel-computing.html",
   "read_min": 9,
   "refs": 20
  },
  {
   "id": 62,
   "label": "芯片设计与 EDA",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/chip-design-and-eda.html",
   "read_min": 12,
   "refs": 35
  },
  {
   "id": 63,
   "label": "边缘 SoC 与 NPU",
   "domain": "hardware",
   "domain_label": "硬件与半导体",
   "url": "hardware/edge-soc-and-npu.html",
   "read_min": 22,
   "refs": 58
  },
  {
   "id": 64,
   "label": "AI 原生研发流程（AI-Native Development Workflow）",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/ai-native-development-workflow.html",
   "read_min": 8,
   "refs": 23
  },
  {
   "id": 65,
   "label": "API 设计与协议",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/api-design-and-protocols.html",
   "read_min": 7,
   "refs": 19
  },
  {
   "id": 66,
   "label": "Go 生态",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/go-ecosystem.html",
   "read_min": 6,
   "refs": 13
  },
  {
   "id": 67,
   "label": "Java 与 JVM 生态",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/java-and-jvm-ecosystem.html",
   "read_min": 7,
   "refs": 19
  },
  {
   "id": 68,
   "label": "JavaScript 与 TypeScript 生态",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/javascript-and-typescript-ecosystem.html",
   "read_min": 7,
   "refs": 20
  },
  {
   "id": 69,
   "label": "Python 生态",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/python-ecosystem.html",
   "read_min": 6,
   "refs": 15
  },
  {
   "id": 70,
   "label": "Rust 生态",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/rust-ecosystem.html",
   "read_min": 7,
   "refs": 19
  },
  {
   "id": 71,
   "label": "WebAssembly 与 Web 平台",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/webassembly-and-web-platform.html",
   "read_min": 8,
   "refs": 21
  },
  {
   "id": 72,
   "label": "事件驱动与消息系统",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/event-driven-and-messaging.html",
   "read_min": 7,
   "refs": 16
  },
  {
   "id": 73,
   "label": "云原生与 Kubernetes",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/cloud-native-and-kubernetes.html",
   "read_min": 10,
   "refs": 35
  },
  {
   "id": 74,
   "label": "低延迟系统",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/low-latency-systems.html",
   "read_min": 8,
   "refs": 22
  },
  {
   "id": 75,
   "label": "前端与 Web 平台",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/frontend-and-web-platforms.html",
   "read_min": 9,
   "refs": 30
  },
  {
   "id": 76,
   "label": "单仓与构建系统（Monorepo and Build Systems）",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/monorepo-and-build-systems.html",
   "read_min": 10,
   "refs": 19
  },
  {
   "id": 77,
   "label": "后端语言与运行时",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/backend-languages-and-runtimes.html",
   "read_min": 8,
   "refs": 33
  },
  {
   "id": 78,
   "label": "嵌入式系统与 RTOS",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/embedded-systems-and-rtos.html",
   "read_min": 9,
   "refs": 24
  },
  {
   "id": 79,
   "label": "平台工程与 DevOps",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/platform-engineering-and-devops.html",
   "read_min": 11,
   "refs": 30
  },
  {
   "id": 80,
   "label": "并发与并行（Concurrency and Parallelism）",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/concurrency-and-parallelism.html",
   "read_min": 9,
   "refs": 22
  },
  {
   "id": 81,
   "label": "开发体验与工具（Developer Experience and Tooling）",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/developer-experience-and-tooling.html",
   "read_min": 10,
   "refs": 27
  },
  {
   "id": 82,
   "label": "开源许可与治理（Open Source Licensing and Governance）",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/open-source-licensing-and-governance.html",
   "read_min": 8,
   "refs": 23
  },
  {
   "id": 83,
   "label": "微服务与分布式架构",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/microservices-and-distributed-architecture.html",
   "read_min": 7,
   "refs": 13
  },
  {
   "id": 84,
   "label": "性能工程（Performance Engineering）",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/performance-engineering.html",
   "read_min": 9,
   "refs": 13
  },
  {
   "id": 85,
   "label": "桌面与跨平台应用",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/desktop-and-cross-platform-apps.html",
   "read_min": 8,
   "refs": 24
  },
  {
   "id": 86,
   "label": "测试与质量工程（Testing and Quality Engineering）",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/testing-and-quality-engineering.html",
   "read_min": 12,
   "refs": 26
  },
  {
   "id": 87,
   "label": "游戏开发与引擎",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/game-development-and-engines.html",
   "read_min": 9,
   "refs": 26
  },
  {
   "id": 88,
   "label": "移动应用开发",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/mobile-app-development.html",
   "read_min": 8,
   "refs": 21
  },
  {
   "id": 89,
   "label": "系统编程语言：C/C++ 与 Zig、Carbon 等",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/cpp-and-systems-languages.html",
   "read_min": 8,
   "refs": 23
  },
  {
   "id": 90,
   "label": "缓存与存储策略（Caching and Storage Strategies）",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/caching-and-storage-strategies.html",
   "read_min": 10,
   "refs": 24
  },
  {
   "id": 91,
   "label": "编程语言理论与范式",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/programming-language-theory.html",
   "read_min": 8,
   "refs": 21
  },
  {
   "id": 92,
   "label": "软件架构模式",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/software-architecture-patterns.html",
   "read_min": 9,
   "refs": 20
  },
  {
   "id": 93,
   "label": "重构与遗留系统现代化（Refactoring and Legacy Modernization）",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/refactoring-and-legacy-modernization.html",
   "read_min": 9,
   "refs": 17
  },
  {
   "id": 94,
   "label": "领域驱动设计（DDD）",
   "domain": "software",
   "domain_label": "软件工程",
   "url": "software/domain-driven-design.html",
   "read_min": 8,
   "refs": 15
  },
  {
   "id": 95,
   "label": "OLAP 与查询引擎",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/olap-and-query-engines.html",
   "read_min": 7,
   "refs": 12
  },
  {
   "id": 96,
   "label": "分布式一致性与事务",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/distributed-consistency-and-transactions.html",
   "read_min": 11,
   "refs": 30
  },
  {
   "id": 97,
   "label": "分析工程与指标",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/analytics-engineering-and-metrics.html",
   "read_min": 8,
   "refs": 15
  },
  {
   "id": 98,
   "label": "向量数据库与嵌入检索",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/vector-databases-and-embeddings.html",
   "read_min": 9,
   "refs": 16
  },
  {
   "id": 99,
   "label": "图数据库与时序数据库",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/graph-and-time-series-databases.html",
   "read_min": 8,
   "refs": 20
  },
  {
   "id": 100,
   "label": "搜索引擎与信息检索",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/search-engines-and-information-retrieval.html",
   "read_min": 10,
   "refs": 22
  },
  {
   "id": 101,
   "label": "数据可观测性与质量",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/data-observability-and-quality.html",
   "read_min": 8,
   "refs": 12
  },
  {
   "id": 102,
   "label": "数据工程基础",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/data-engineering-fundamentals.html",
   "read_min": 7,
   "refs": 15
  },
  {
   "id": 103,
   "label": "数据库内核",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/database-internals.html",
   "read_min": 8,
   "refs": 12
  },
  {
   "id": 104,
   "label": "数据架构与建模",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/data-architecture-and-modeling.html",
   "read_min": 8,
   "refs": 15
  },
  {
   "id": 105,
   "label": "数据治理与隐私",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/data-governance-and-privacy.html",
   "read_min": 9,
   "refs": 14
  },
  {
   "id": 106,
   "label": "流处理与实时分析",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/streaming-and-real-time-analytics.html",
   "read_min": 8,
   "refs": 15
  },
  {
   "id": 107,
   "label": "湖仓一体与表格式",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/lakehouse-and-table-formats.html",
   "read_min": 9,
   "refs": 15
  },
  {
   "id": 108,
   "label": "特征平台与 ML 数据",
   "domain": "data",
   "domain_label": "数据工程与数据平台",
   "url": "data/feature-stores-and-ml-data.html",
   "read_min": 8,
   "refs": 14
  },
  {
   "id": 109,
   "label": "AI 与 LLM 安全",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/ai-security-and-llm-attacks.html",
   "read_min": 15,
   "refs": 34
  },
  {
   "id": 110,
   "label": "OT 与 IoT 安全",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/ot-and-iot-security.html",
   "read_min": 14,
   "refs": 25
  },
  {
   "id": 111,
   "label": "云安全",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/cloud-security.html",
   "read_min": 8,
   "refs": 14
  },
  {
   "id": 112,
   "label": "合规与安全治理",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/compliance-and-security-governance.html",
   "read_min": 15,
   "refs": 37
  },
  {
   "id": 113,
   "label": "威胁态势 2026",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/threat-landscape-2026.html",
   "read_min": 10,
   "refs": 18
  },
  {
   "id": 114,
   "label": "安全运营与 SOC",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/security-operations-and-soc.html",
   "read_min": 12,
   "refs": 29
  },
  {
   "id": 115,
   "label": "密码学与后量子迁移",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/cryptography-and-pqc.html",
   "read_min": 8,
   "refs": 12
  },
  {
   "id": 116,
   "label": "应用安全",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/application-security.html",
   "read_min": 7,
   "refs": 13
  },
  {
   "id": 117,
   "label": "攻防安全与漏洞赏金",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/offensive-security-and-bug-bounty.html",
   "read_min": 10,
   "refs": 21
  },
  {
   "id": 118,
   "label": "终端与勒索软件防御",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/endpoint-and-ransomware-defense.html",
   "read_min": 10,
   "refs": 18
  },
  {
   "id": 119,
   "label": "网络安全与零信任",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/network-security-and-zero-trust.html",
   "read_min": 9,
   "refs": 17
  },
  {
   "id": 120,
   "label": "身份与访问管理（IAM）",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/identity-and-access-management.html",
   "read_min": 8,
   "refs": 17
  },
  {
   "id": 121,
   "label": "软件供应链安全",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/supply-chain-security.html",
   "read_min": 11,
   "refs": 23
  },
  {
   "id": 122,
   "label": "隐私增强技术（PETs）",
   "domain": "security",
   "domain_label": "网络安全",
   "url": "security/privacy-enhancing-technologies.html",
   "read_min": 13,
   "refs": 25
  },
  {
   "id": 123,
   "label": "信息论与编码",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/information-theory-and-coding.html",
   "read_min": 6,
   "refs": 16
  },
  {
   "id": 124,
   "label": "化学与催化",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/chemistry-and-catalysis.html",
   "read_min": 7,
   "refs": 8
  },
  {
   "id": 125,
   "label": "复杂系统与网络科学",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/complex-systems-and-network-science.html",
   "read_min": 7,
   "refs": 17
  },
  {
   "id": 126,
   "label": "天文与宇宙学",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/astronomy-and-cosmology.html",
   "read_min": 6,
   "refs": 13
  },
  {
   "id": 127,
   "label": "开放科学与科研基础设施",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/open-science-and-research-infrastructure.html",
   "read_min": 9,
   "refs": 23
  },
  {
   "id": 128,
   "label": "数学前沿",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/mathematics-frontier.html",
   "read_min": 6,
   "refs": 11
  },
  {
   "id": 129,
   "label": "材料科学",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/materials-science.html",
   "read_min": 7,
   "refs": 11
  },
  {
   "id": 130,
   "label": "气候科学与地球系统",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/climate-science-and-earth-system.html",
   "read_min": 7,
   "refs": 18
  },
  {
   "id": 131,
   "label": "物理学前沿",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/physics-frontier.html",
   "read_min": 7,
   "refs": 18
  },
  {
   "id": 132,
   "label": "生物学与基因组学",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/biology-and-genomics.html",
   "read_min": 8,
   "refs": 11
  },
  {
   "id": 133,
   "label": "神经科学",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/neuroscience.html",
   "read_min": 8,
   "refs": 11
  },
  {
   "id": 134,
   "label": "统计学与因果推断",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/statistics-and-causal-inference.html",
   "read_min": 7,
   "refs": 16
  },
  {
   "id": 135,
   "label": "计算科学与仿真",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/computational-science-and-simulation.html",
   "read_min": 7,
   "refs": 18
  },
  {
   "id": 136,
   "label": "量子信息科学",
   "domain": "science",
   "domain_label": "基础科学前沿",
   "url": "science/quantum-information-science.html",
   "read_min": 16,
   "refs": 41
  },
  {
   "id": 137,
   "label": "6G 与下一代连接",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/6g-and-next-gen-connectivity.html",
   "read_min": 8,
   "refs": 20
  },
  {
   "id": 138,
   "label": "AI 制药（AI Drug Discovery）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/ai-drug-discovery.html",
   "read_min": 11,
   "refs": 29
  },
  {
   "id": 139,
   "label": "人形机器人（Humanoid Robotics）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/humanoid-robotics.html",
   "read_min": 14,
   "refs": 39
  },
  {
   "id": 140,
   "label": "卫星星座与卫星通信",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/satellite-constellations-and-satcom.html",
   "read_min": 13,
   "refs": 39
  },
  {
   "id": 141,
   "label": "合成生物学与生物制造（Synthetic Biology and Bio-Manufacturing）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/synthetic-biology-and-bio-manufacturing.html",
   "read_min": 10,
   "refs": 23
  },
  {
   "id": 142,
   "label": "固态电池与下一代电池（Solid-State & Next-Gen Batteries）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/solid-state-and-next-gen-batteries.html",
   "read_min": 8,
   "refs": 13
  },
  {
   "id": 143,
   "label": "基因编辑与细胞治疗（Gene Editing and Cell Therapy）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/gene-editing-and-cell-therapy.html",
   "read_min": 13,
   "refs": 32
  },
  {
   "id": 144,
   "label": "小型模块化反应堆与核能（Small Modular Reactors & Nuclear）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/small-modular-reactors.html",
   "read_min": 8,
   "refs": 13
  },
  {
   "id": 145,
   "label": "工业机器人与自动化（Industrial Robotics and Automation）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/industrial-robotics-and-automation.html",
   "read_min": 6,
   "refs": 10
  },
  {
   "id": 146,
   "label": "数字健康与医疗器械（Digital Health and Medical Devices）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/digital-health-and-medical-devices.html",
   "read_min": 9,
   "refs": 23
  },
  {
   "id": 147,
   "label": "新能源与气候科技",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/new-energy-and-climate-tech.html",
   "read_min": 13,
   "refs": 33
  },
  {
   "id": 148,
   "label": "无人机与低空经济（Drones and Low-Altitude Economy）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/drones-and-low-altitude-economy.html",
   "read_min": 7,
   "refs": 18
  },
  {
   "id": 149,
   "label": "氢能与绿色燃料（Hydrogen & Green Fuels）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/hydrogen-and-green-fuels.html",
   "read_min": 7,
   "refs": 14
  },
  {
   "id": 150,
   "label": "深空探索与太空经济",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/space-exploration-and-commerce.html",
   "read_min": 9,
   "refs": 21
  },
  {
   "id": 151,
   "label": "火箭与航天发射",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/rockets-and-space-launch.html",
   "read_min": 11,
   "refs": 22
  },
  {
   "id": 152,
   "label": "电动汽车与交通电动化",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/evs-and-transport-electrification.html",
   "read_min": 9,
   "refs": 21
  },
  {
   "id": 153,
   "label": "碳捕集与气候适应（Carbon Capture & Climate Adaptation）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/carbon-capture-and-climate-adaptation.html",
   "read_min": 9,
   "refs": 21
  },
  {
   "id": 154,
   "label": "空间计算与 XR",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/spatial-computing-xr.html",
   "read_min": 10,
   "refs": 24
  },
  {
   "id": 155,
   "label": "聚变能源（Fusion Energy）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/fusion-energy.html",
   "read_min": 10,
   "refs": 30
  },
  {
   "id": 156,
   "label": "脑机接口（Brain-Computer Interfaces, BCI）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/brain-computer-interfaces.html",
   "read_min": 8,
   "refs": 19
  },
  {
   "id": 157,
   "label": "自动驾驶",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/autonomous-driving.html",
   "read_min": 13,
   "refs": 39
  },
  {
   "id": 158,
   "label": "配送机器人与物流自动化（Autonomous Delivery and Logistics Robots）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/autonomous-delivery-and-logistics-robots.html",
   "read_min": 7,
   "refs": 16
  },
  {
   "id": 159,
   "label": "长寿与抗衰老研究（Longevity and Aging Research）",
   "domain": "emerging",
   "domain_label": "新兴科技",
   "url": "emerging/longevity-and-aging-research.html",
   "read_min": 9,
   "refs": 21
  },
  {
   "id": 160,
   "label": "AI 监管与政策（全球）",
   "domain": "industry",
   "domain_label": "产业与政策",
   "url": "industry/ai-regulation-and-policy.html",
   "read_min": 19,
   "refs": 57
  },
  {
   "id": 161,
   "label": "Web3 与数字资产",
   "domain": "industry",
   "domain_label": "产业与政策",
   "url": "industry/web3-and-digital-assets.html",
   "read_min": 18,
   "refs": 58
  },
  {
   "id": 162,
   "label": "数字权利与监控",
   "domain": "society",
   "domain_label": "社会与数字权利",
   "url": "society/digital-rights-and-surveillance.html",
   "read_min": 9,
   "refs": 17
  }
 ],
 "edges": [
  {
   "source": 0,
   "target": 33,
   "weight": 0.1252
  },
  {
   "source": 0,
   "target": 25,
   "weight": 0.1173
  },
  {
   "source": 0,
   "target": 39,
   "weight": 0.1156
  },
  {
   "source": 0,
   "target": 24,
   "weight": 0.0679
  },
  {
   "source": 1,
   "target": 12,
   "weight": 0.2668
  },
  {
   "source": 1,
   "target": 11,
   "weight": 0.1836
  },
  {
   "source": 1,
   "target": 9,
   "weight": 0.1745
  },
  {
   "source": 1,
   "target": 26,
   "weight": 0.1591
  },
  {
   "source": 2,
   "target": 24,
   "weight": 0.0944
  },
  {
   "source": 2,
   "target": 6,
   "weight": 0.076
  },
  {
   "source": 2,
   "target": 36,
   "weight": 0.0698
  },
  {
   "source": 2,
   "target": 25,
   "weight": 0.0697
  },
  {
   "source": 3,
   "target": 9,
   "weight": 0.1555
  },
  {
   "source": 3,
   "target": 1,
   "weight": 0.0876
  },
  {
   "source": 3,
   "target": 16,
   "weight": 0.0843
  },
  {
   "source": 3,
   "target": 11,
   "weight": 0.084
  },
  {
   "source": 4,
   "target": 41,
   "weight": 0.143
  },
  {
   "source": 4,
   "target": 35,
   "weight": 0.1387
  },
  {
   "source": 4,
   "target": 26,
   "weight": 0.1024
  },
  {
   "source": 4,
   "target": 29,
   "weight": 0.0946
  },
  {
   "source": 5,
   "target": 34,
   "weight": 0.1571
  },
  {
   "source": 5,
   "target": 41,
   "weight": 0.1449
  },
  {
   "source": 5,
   "target": 40,
   "weight": 0.1369
  },
  {
   "source": 5,
   "target": 15,
   "weight": 0.1298
  },
  {
   "source": 6,
   "target": 21,
   "weight": 0.193
  },
  {
   "source": 6,
   "target": 7,
   "weight": 0.1658
  },
  {
   "source": 6,
   "target": 10,
   "weight": 0.1494
  },
  {
   "source": 6,
   "target": 23,
   "weight": 0.135
  },
  {
   "source": 7,
   "target": 6,
   "weight": 0.1658
  },
  {
   "source": 7,
   "target": 1,
   "weight": 0.0923
  },
  {
   "source": 7,
   "target": 10,
   "weight": 0.081
  },
  {
   "source": 7,
   "target": 11,
   "weight": 0.0729
  },
  {
   "source": 8,
   "target": 27,
   "weight": 0.1285
  },
  {
   "source": 8,
   "target": 25,
   "weight": 0.1254
  },
  {
   "source": 8,
   "target": 1,
   "weight": 0.1252
  },
  {
   "source": 8,
   "target": 41,
   "weight": 0.1056
  },
  {
   "source": 9,
   "target": 1,
   "weight": 0.1745
  },
  {
   "source": 9,
   "target": 26,
   "weight": 0.1716
  },
  {
   "source": 9,
   "target": 41,
   "weight": 0.1637
  },
  {
   "source": 9,
   "target": 3,
   "weight": 0.1555
  },
  {
   "source": 10,
   "target": 26,
   "weight": 0.1715
  },
  {
   "source": 10,
   "target": 6,
   "weight": 0.1494
  },
  {
   "source": 10,
   "target": 14,
   "weight": 0.1168
  },
  {
   "source": 10,
   "target": 23,
   "weight": 0.1098
  },
  {
   "source": 11,
   "target": 16,
   "weight": 0.2172
  },
  {
   "source": 11,
   "target": 37,
   "weight": 0.195
  },
  {
   "source": 11,
   "target": 1,
   "weight": 0.1836
  },
  {
   "source": 11,
   "target": 14,
   "weight": 0.1557
  },
  {
   "source": 12,
   "target": 1,
   "weight": 0.2668
  },
  {
   "source": 12,
   "target": 11,
   "weight": 0.1472
  },
  {
   "source": 12,
   "target": 14,
   "weight": 0.1187
  },
  {
   "source": 12,
   "target": 9,
   "weight": 0.1184
  },
  {
   "source": 13,
   "target": 40,
   "weight": 0.2122
  },
  {
   "source": 13,
   "target": 34,
   "weight": 0.145
  },
  {
   "source": 13,
   "target": 19,
   "weight": 0.1322
  },
  {
   "source": 13,
   "target": 15,
   "weight": 0.1318
  },
  {
   "source": 14,
   "target": 11,
   "weight": 0.1557
  },
  {
   "source": 14,
   "target": 12,
   "weight": 0.1187
  },
  {
   "source": 14,
   "target": 10,
   "weight": 0.1168
  },
  {
   "source": 14,
   "target": 37,
   "weight": 0.1
  },
  {
   "source": 15,
   "target": 19,
   "weight": 0.2061
  },
  {
   "source": 15,
   "target": 17,
   "weight": 0.1951
  },
  {
   "source": 15,
   "target": 41,
   "weight": 0.1463
  },
  {
   "source": 15,
   "target": 28,
   "weight": 0.138
  },
  {
   "source": 16,
   "target": 38,
   "weight": 0.2289
  },
  {
   "source": 16,
   "target": 11,
   "weight": 0.2172
  },
  {
   "source": 16,
   "target": 37,
   "weight": 0.1832
  },
  {
   "source": 16,
   "target": 43,
   "weight": 0.1536
  },
  {
   "source": 17,
   "target": 43,
   "weight": 0.3267
  },
  {
   "source": 17,
   "target": 15,
   "weight": 0.1951
  },
  {
   "source": 17,
   "target": 42,
   "weight": 0.1675
  },
  {
   "source": 17,
   "target": 20,
   "weight": 0.1309
  },
  {
   "source": 18,
   "target": 1,
   "weight": 0.089
  },
  {
   "source": 18,
   "target": 9,
   "weight": 0.0709
  },
  {
   "source": 18,
   "target": 29,
   "weight": 0.0669
  },
  {
   "source": 18,
   "target": 6,
   "weight": 0.0603
  },
  {
   "source": 19,
   "target": 15,
   "weight": 0.2061
  },
  {
   "source": 19,
   "target": 13,
   "weight": 0.1322
  },
  {
   "source": 19,
   "target": 17,
   "weight": 0.1173
  },
  {
   "source": 19,
   "target": 42,
   "weight": 0.1163
  },
  {
   "source": 20,
   "target": 38,
   "weight": 0.2333
  },
  {
   "source": 20,
   "target": 17,
   "weight": 0.1309
  },
  {
   "source": 20,
   "target": 25,
   "weight": 0.1117
  },
  {
   "source": 20,
   "target": 43,
   "weight": 0.1103
  },
  {
   "source": 21,
   "target": 6,
   "weight": 0.193
  },
  {
   "source": 21,
   "target": 10,
   "weight": 0.0866
  },
  {
   "source": 21,
   "target": 22,
   "weight": 0.0861
  },
  {
   "source": 21,
   "target": 23,
   "weight": 0.0833
  },
  {
   "source": 22,
   "target": 45,
   "weight": 0.1243
  },
  {
   "source": 22,
   "target": 31,
   "weight": 0.1131
  },
  {
   "source": 22,
   "target": 35,
   "weight": 0.1058
  },
  {
   "source": 22,
   "target": 23,
   "weight": 0.0931
  },
  {
   "source": 23,
   "target": 31,
   "weight": 0.2155
  },
  {
   "source": 23,
   "target": 35,
   "weight": 0.2019
  },
  {
   "source": 23,
   "target": 6,
   "weight": 0.135
  },
  {
   "source": 23,
   "target": 10,
   "weight": 0.1098
  },
  {
   "source": 24,
   "target": 38,
   "weight": 0.1071
  },
  {
   "source": 24,
   "target": 16,
   "weight": 0.107
  },
  {
   "source": 24,
   "target": 2,
   "weight": 0.0944
  },
  {
   "source": 24,
   "target": 36,
   "weight": 0.0925
  },
  {
   "source": 25,
   "target": 39,
   "weight": 0.2641
  },
  {
   "source": 25,
   "target": 33,
   "weight": 0.2077
  },
  {
   "source": 25,
   "target": 41,
   "weight": 0.1962
  },
  {
   "source": 25,
   "target": 27,
   "weight": 0.1781
  },
  {
   "source": 26,
   "target": 41,
   "weight": 0.2479
  },
  {
   "source": 26,
   "target": 35,
   "weight": 0.2001
  },
  {
   "source": 26,
   "target": 9,
   "weight": 0.1716
  },
  {
   "source": 26,
   "target": 10,
   "weight": 0.1715
  },
  {
   "source": 27,
   "target": 44,
   "weight": 0.2248
  },
  {
   "source": 27,
   "target": 25,
   "weight": 0.1781
  },
  {
   "source": 27,
   "target": 8,
   "weight": 0.1285
  },
  {
   "source": 27,
   "target": 41,
   "weight": 0.1113
  },
  {
   "source": 28,
   "target": 29,
   "weight": 0.1852
  },
  {
   "source": 28,
   "target": 30,
   "weight": 0.1612
  },
  {
   "source": 28,
   "target": 25,
   "weight": 0.1435
  },
  {
   "source": 28,
   "target": 15,
   "weight": 0.138
  },
  {
   "source": 29,
   "target": 41,
   "weight": 0.2357
  },
  {
   "source": 29,
   "target": 28,
   "weight": 0.1852
  },
  {
   "source": 29,
   "target": 30,
   "weight": 0.1726
  },
  {
   "source": 29,
   "target": 15,
   "weight": 0.138
  },
  {
   "source": 30,
   "target": 34,
   "weight": 0.2116
  },
  {
   "source": 30,
   "target": 29,
   "weight": 0.1726
  },
  {
   "source": 30,
   "target": 28,
   "weight": 0.1612
  },
  {
   "source": 30,
   "target": 42,
   "weight": 0.1593
  },
  {
   "source": 31,
   "target": 35,
   "weight": 0.2203
  },
  {
   "source": 31,
   "target": 23,
   "weight": 0.2155
  },
  {
   "source": 31,
   "target": 22,
   "weight": 0.1131
  },
  {
   "source": 31,
   "target": 10,
   "weight": 0.0924
  },
  {
   "source": 32,
   "target": 34,
   "weight": 0.1527
  },
  {
   "source": 32,
   "target": 41,
   "weight": 0.1256
  },
  {
   "source": 32,
   "target": 16,
   "weight": 0.1045
  },
  {
   "source": 32,
   "target": 29,
   "weight": 0.0923
  },
  {
   "source": 33,
   "target": 25,
   "weight": 0.2077
  },
  {
   "source": 33,
   "target": 39,
   "weight": 0.1452
  },
  {
   "source": 33,
   "target": 0,
   "weight": 0.1252
  },
  {
   "source": 33,
   "target": 29,
   "weight": 0.0919
  },
  {
   "source": 34,
   "target": 30,
   "weight": 0.2116
  },
  {
   "source": 34,
   "target": 5,
   "weight": 0.1571
  },
  {
   "source": 34,
   "target": 32,
   "weight": 0.1527
  },
  {
   "source": 34,
   "target": 42,
   "weight": 0.147
  },
  {
   "source": 35,
   "target": 31,
   "weight": 0.2203
  },
  {
   "source": 35,
   "target": 41,
   "weight": 0.2071
  },
  {
   "source": 35,
   "target": 23,
   "weight": 0.2019
  },
  {
   "source": 35,
   "target": 26,
   "weight": 0.2001
  },
  {
   "source": 36,
   "target": 45,
   "weight": 0.1167
  },
  {
   "source": 36,
   "target": 17,
   "weight": 0.1117
  },
  {
   "source": 36,
   "target": 43,
   "weight": 0.106
  },
  {
   "source": 36,
   "target": 38,
   "weight": 0.103
  },
  {
   "source": 37,
   "target": 11,
   "weight": 0.195
  },
  {
   "source": 37,
   "target": 16,
   "weight": 0.1832
  },
  {
   "source": 37,
   "target": 35,
   "weight": 0.1232
  },
  {
   "source": 37,
   "target": 1,
   "weight": 0.1224
  },
  {
   "source": 38,
   "target": 20,
   "weight": 0.2333
  },
  {
   "source": 38,
   "target": 16,
   "weight": 0.2289
  },
  {
   "source": 38,
   "target": 24,
   "weight": 0.1071
  },
  {
   "source": 38,
   "target": 36,
   "weight": 0.103
  },
  {
   "source": 39,
   "target": 25,
   "weight": 0.2641
  },
  {
   "source": 39,
   "target": 33,
   "weight": 0.1452
  },
  {
   "source": 39,
   "target": 0,
   "weight": 0.1156
  },
  {
   "source": 39,
   "target": 31,
   "weight": 0.0914
  },
  {
   "source": 40,
   "target": 13,
   "weight": 0.2122
  },
  {
   "source": 40,
   "target": 42,
   "weight": 0.1923
  },
  {
   "source": 40,
   "target": 5,
   "weight": 0.1369
  },
  {
   "source": 40,
   "target": 30,
   "weight": 0.1123
  },
  {
   "source": 41,
   "target": 26,
   "weight": 0.2479
  },
  {
   "source": 41,
   "target": 29,
   "weight": 0.2357
  },
  {
   "source": 41,
   "target": 35,
   "weight": 0.2071
  },
  {
   "source": 41,
   "target": 25,
   "weight": 0.1962
  },
  {
   "source": 42,
   "target": 40,
   "weight": 0.1923
  },
  {
   "source": 42,
   "target": 17,
   "weight": 0.1675
  },
  {
   "source": 42,
   "target": 30,
   "weight": 0.1593
  },
  {
   "source": 42,
   "target": 34,
   "weight": 0.147
  },
  {
   "source": 43,
   "target": 17,
   "weight": 0.3267
  },
  {
   "source": 43,
   "target": 16,
   "weight": 0.1536
  },
  {
   "source": 43,
   "target": 34,
   "weight": 0.1286
  },
  {
   "source": 43,
   "target": 15,
   "weight": 0.1286
  },
  {
   "source": 44,
   "target": 27,
   "weight": 0.2248
  },
  {
   "source": 44,
   "target": 25,
   "weight": 0.1248
  },
  {
   "source": 44,
   "target": 39,
   "weight": 0.0835
  },
  {
   "source": 44,
   "target": 33,
   "weight": 0.0768
  },
  {
   "source": 45,
   "target": 22,
   "weight": 0.1243
  },
  {
   "source": 45,
   "target": 36,
   "weight": 0.1167
  },
  {
   "source": 45,
   "target": 15,
   "weight": 0.1039
  },
  {
   "source": 45,
   "target": 43,
   "weight": 0.1028
  },
  {
   "source": 46,
   "target": 59,
   "weight": 0.3346
  },
  {
   "source": 46,
   "target": 48,
   "weight": 0.1921
  },
  {
   "source": 46,
   "target": 55,
   "weight": 0.089
  },
  {
   "source": 46,
   "target": 61,
   "weight": 0.068
  },
  {
   "source": 47,
   "target": 51,
   "weight": 0.1172
  },
  {
   "source": 47,
   "target": 62,
   "weight": 0.1103
  },
  {
   "source": 47,
   "target": 55,
   "weight": 0.1093
  },
  {
   "source": 47,
   "target": 49,
   "weight": 0.1092
  },
  {
   "source": 48,
   "target": 46,
   "weight": 0.1921
  },
  {
   "source": 48,
   "target": 55,
   "weight": 0.1627
  },
  {
   "source": 48,
   "target": 59,
   "weight": 0.1475
  },
  {
   "source": 48,
   "target": 63,
   "weight": 0.1206
  },
  {
   "source": 49,
   "target": 51,
   "weight": 0.1228
  },
  {
   "source": 49,
   "target": 47,
   "weight": 0.1092
  },
  {
   "source": 49,
   "target": 63,
   "weight": 0.0814
  },
  {
   "source": 49,
   "target": 61,
   "weight": 0.0709
  },
  {
   "source": 50,
   "target": 61,
   "weight": 0.0816
  },
  {
   "source": 50,
   "target": 62,
   "weight": 0.0807
  },
  {
   "source": 50,
   "target": 63,
   "weight": 0.0737
  },
  {
   "source": 50,
   "target": 48,
   "weight": 0.0701
  },
  {
   "source": 51,
   "target": 54,
   "weight": 0.1462
  },
  {
   "source": 51,
   "target": 57,
   "weight": 0.1251
  },
  {
   "source": 51,
   "target": 49,
   "weight": 0.1228
  },
  {
   "source": 51,
   "target": 47,
   "weight": 0.1172
  },
  {
   "source": 52,
   "target": 54,
   "weight": 0.3066
  },
  {
   "source": 52,
   "target": 55,
   "weight": 0.167
  },
  {
   "source": 52,
   "target": 53,
   "weight": 0.1663
  },
  {
   "source": 52,
   "target": 62,
   "weight": 0.1562
  },
  {
   "source": 53,
   "target": 54,
   "weight": 0.2695
  },
  {
   "source": 53,
   "target": 52,
   "weight": 0.1663
  },
  {
   "source": 53,
   "target": 62,
   "weight": 0.1388
  },
  {
   "source": 53,
   "target": 55,
   "weight": 0.1358
  },
  {
   "source": 54,
   "target": 52,
   "weight": 0.3066
  },
  {
   "source": 54,
   "target": 53,
   "weight": 0.2695
  },
  {
   "source": 54,
   "target": 51,
   "weight": 0.1462
  },
  {
   "source": 54,
   "target": 62,
   "weight": 0.1226
  },
  {
   "source": 55,
   "target": 52,
   "weight": 0.167
  },
  {
   "source": 55,
   "target": 48,
   "weight": 0.1627
  },
  {
   "source": 55,
   "target": 53,
   "weight": 0.1358
  },
  {
   "source": 55,
   "target": 47,
   "weight": 0.1093
  },
  {
   "source": 56,
   "target": 59,
   "weight": 0.1427
  },
  {
   "source": 56,
   "target": 48,
   "weight": 0.0917
  },
  {
   "source": 56,
   "target": 60,
   "weight": 0.0667
  },
  {
   "source": 56,
   "target": 53,
   "weight": 0.0645
  },
  {
   "source": 57,
   "target": 51,
   "weight": 0.1251
  },
  {
   "source": 57,
   "target": 54,
   "weight": 0.0704
  },
  {
   "source": 57,
   "target": 50,
   "weight": 0.0594
  },
  {
   "source": 57,
   "target": 49,
   "weight": 0.0594
  },
  {
   "source": 58,
   "target": 63,
   "weight": 0.3126
  },
  {
   "source": 58,
   "target": 51,
   "weight": 0.0819
  },
  {
   "source": 58,
   "target": 49,
   "weight": 0.0708
  },
  {
   "source": 58,
   "target": 53,
   "weight": 0.0649
  },
  {
   "source": 59,
   "target": 46,
   "weight": 0.3346
  },
  {
   "source": 59,
   "target": 48,
   "weight": 0.1475
  },
  {
   "source": 59,
   "target": 56,
   "weight": 0.1427
  },
  {
   "source": 59,
   "target": 53,
   "weight": 0.0832
  },
  {
   "source": 60,
   "target": 53,
   "weight": 0.1211
  },
  {
   "source": 60,
   "target": 48,
   "weight": 0.0845
  },
  {
   "source": 60,
   "target": 54,
   "weight": 0.0792
  },
  {
   "source": 60,
   "target": 55,
   "weight": 0.0751
  },
  {
   "source": 61,
   "target": 47,
   "weight": 0.0993
  },
  {
   "source": 61,
   "target": 63,
   "weight": 0.0949
  },
  {
   "source": 61,
   "target": 55,
   "weight": 0.0928
  },
  {
   "source": 61,
   "target": 48,
   "weight": 0.0914
  },
  {
   "source": 62,
   "target": 52,
   "weight": 0.1562
  },
  {
   "source": 62,
   "target": 53,
   "weight": 0.1388
  },
  {
   "source": 62,
   "target": 54,
   "weight": 0.1226
  },
  {
   "source": 62,
   "target": 47,
   "weight": 0.1103
  },
  {
   "source": 63,
   "target": 58,
   "weight": 0.3126
  },
  {
   "source": 63,
   "target": 48,
   "weight": 0.1206
  },
  {
   "source": 63,
   "target": 61,
   "weight": 0.0949
  },
  {
   "source": 63,
   "target": 55,
   "weight": 0.089
  },
  {
   "source": 64,
   "target": 81,
   "weight": 0.3685
  },
  {
   "source": 64,
   "target": 86,
   "weight": 0.1373
  },
  {
   "source": 64,
   "target": 79,
   "weight": 0.1331
  },
  {
   "source": 64,
   "target": 93,
   "weight": 0.0753
  },
  {
   "source": 65,
   "target": 75,
   "weight": 0.0672
  },
  {
   "source": 65,
   "target": 83,
   "weight": 0.0615
  },
  {
   "source": 65,
   "target": 72,
   "weight": 0.0595
  },
  {
   "source": 65,
   "target": 68,
   "weight": 0.0554
  },
  {
   "source": 66,
   "target": 80,
   "weight": 0.2172
  },
  {
   "source": 66,
   "target": 77,
   "weight": 0.2007
  },
  {
   "source": 66,
   "target": 91,
   "weight": 0.1493
  },
  {
   "source": 66,
   "target": 67,
   "weight": 0.1302
  },
  {
   "source": 67,
   "target": 77,
   "weight": 0.2351
  },
  {
   "source": 67,
   "target": 91,
   "weight": 0.2086
  },
  {
   "source": 67,
   "target": 80,
   "weight": 0.1771
  },
  {
   "source": 67,
   "target": 66,
   "weight": 0.1302
  },
  {
   "source": 68,
   "target": 75,
   "weight": 0.2621
  },
  {
   "source": 68,
   "target": 91,
   "weight": 0.1344
  },
  {
   "source": 68,
   "target": 77,
   "weight": 0.1236
  },
  {
   "source": 68,
   "target": 69,
   "weight": 0.1057
  },
  {
   "source": 69,
   "target": 77,
   "weight": 0.1889
  },
  {
   "source": 69,
   "target": 80,
   "weight": 0.1754
  },
  {
   "source": 69,
   "target": 68,
   "weight": 0.1057
  },
  {
   "source": 69,
   "target": 67,
   "weight": 0.0889
  },
  {
   "source": 70,
   "target": 91,
   "weight": 0.2698
  },
  {
   "source": 70,
   "target": 77,
   "weight": 0.1745
  },
  {
   "source": 70,
   "target": 89,
   "weight": 0.1223
  },
  {
   "source": 70,
   "target": 80,
   "weight": 0.1204
  },
  {
   "source": 71,
   "target": 75,
   "weight": 0.1538
  },
  {
   "source": 71,
   "target": 73,
   "weight": 0.1034
  },
  {
   "source": 71,
   "target": 91,
   "weight": 0.0832
  },
  {
   "source": 71,
   "target": 66,
   "weight": 0.0797
  },
  {
   "source": 72,
   "target": 83,
   "weight": 0.071
  },
  {
   "source": 72,
   "target": 94,
   "weight": 0.0626
  },
  {
   "source": 72,
   "target": 90,
   "weight": 0.0621
  },
  {
   "source": 72,
   "target": 92,
   "weight": 0.0617
  },
  {
   "source": 73,
   "target": 79,
   "weight": 0.1901
  },
  {
   "source": 73,
   "target": 71,
   "weight": 0.1034
  },
  {
   "source": 73,
   "target": 81,
   "weight": 0.103
  },
  {
   "source": 73,
   "target": 66,
   "weight": 0.1004
  },
  {
   "source": 74,
   "target": 84,
   "weight": 0.1085
  },
  {
   "source": 74,
   "target": 73,
   "weight": 0.0679
  },
  {
   "source": 74,
   "target": 78,
   "weight": 0.0618
  },
  {
   "source": 74,
   "target": 71,
   "weight": 0.0565
  },
  {
   "source": 75,
   "target": 68,
   "weight": 0.2621
  },
  {
   "source": 75,
   "target": 71,
   "weight": 0.1538
  },
  {
   "source": 75,
   "target": 77,
   "weight": 0.12
  },
  {
   "source": 75,
   "target": 85,
   "weight": 0.1063
  },
  {
   "source": 76,
   "target": 75,
   "weight": 0.082
  },
  {
   "source": 76,
   "target": 83,
   "weight": 0.0615
  },
  {
   "source": 76,
   "target": 79,
   "weight": 0.0611
  },
  {
   "source": 76,
   "target": 86,
   "weight": 0.0609
  },
  {
   "source": 77,
   "target": 80,
   "weight": 0.317
  },
  {
   "source": 77,
   "target": 67,
   "weight": 0.2351
  },
  {
   "source": 77,
   "target": 66,
   "weight": 0.2007
  },
  {
   "source": 77,
   "target": 69,
   "weight": 0.1889
  },
  {
   "source": 78,
   "target": 70,
   "weight": 0.0983
  },
  {
   "source": 78,
   "target": 89,
   "weight": 0.0736
  },
  {
   "source": 78,
   "target": 71,
   "weight": 0.0707
  },
  {
   "source": 78,
   "target": 73,
   "weight": 0.0642
  },
  {
   "source": 79,
   "target": 81,
   "weight": 0.2118
  },
  {
   "source": 79,
   "target": 73,
   "weight": 0.1901
  },
  {
   "source": 79,
   "target": 64,
   "weight": 0.1331
  },
  {
   "source": 79,
   "target": 84,
   "weight": 0.0919
  },
  {
   "source": 80,
   "target": 77,
   "weight": 0.317
  },
  {
   "source": 80,
   "target": 66,
   "weight": 0.2172
  },
  {
   "source": 80,
   "target": 67,
   "weight": 0.1771
  },
  {
   "source": 80,
   "target": 69,
   "weight": 0.1754
  },
  {
   "source": 81,
   "target": 64,
   "weight": 0.3685
  },
  {
   "source": 81,
   "target": 79,
   "weight": 0.2118
  },
  {
   "source": 81,
   "target": 73,
   "weight": 0.103
  },
  {
   "source": 81,
   "target": 86,
   "weight": 0.0928
  },
  {
   "source": 82,
   "target": 90,
   "weight": 0.1105
  },
  {
   "source": 82,
   "target": 79,
   "weight": 0.0602
  },
  {
   "source": 82,
   "target": 81,
   "weight": 0.0602
  },
  {
   "source": 82,
   "target": 64,
   "weight": 0.0519
  },
  {
   "source": 83,
   "target": 92,
   "weight": 0.3414
  },
  {
   "source": 83,
   "target": 94,
   "weight": 0.1398
  },
  {
   "source": 83,
   "target": 84,
   "weight": 0.0793
  },
  {
   "source": 83,
   "target": 72,
   "weight": 0.071
  },
  {
   "source": 84,
   "target": 74,
   "weight": 0.1085
  },
  {
   "source": 84,
   "target": 80,
   "weight": 0.0946
  },
  {
   "source": 84,
   "target": 79,
   "weight": 0.0919
  },
  {
   "source": 84,
   "target": 83,
   "weight": 0.0793
  },
  {
   "source": 85,
   "target": 88,
   "weight": 0.2198
  },
  {
   "source": 85,
   "target": 75,
   "weight": 0.1063
  },
  {
   "source": 85,
   "target": 87,
   "weight": 0.0925
  },
  {
   "source": 85,
   "target": 77,
   "weight": 0.0889
  },
  {
   "source": 86,
   "target": 64,
   "weight": 0.1373
  },
  {
   "source": 86,
   "target": 93,
   "weight": 0.0983
  },
  {
   "source": 86,
   "target": 81,
   "weight": 0.0928
  },
  {
   "source": 86,
   "target": 79,
   "weight": 0.0804
  },
  {
   "source": 87,
   "target": 85,
   "weight": 0.0925
  },
  {
   "source": 87,
   "target": 88,
   "weight": 0.0642
  },
  {
   "source": 87,
   "target": 75,
   "weight": 0.0622
  },
  {
   "source": 87,
   "target": 71,
   "weight": 0.0586
  },
  {
   "source": 88,
   "target": 85,
   "weight": 0.2198
  },
  {
   "source": 88,
   "target": 67,
   "weight": 0.0867
  },
  {
   "source": 88,
   "target": 81,
   "weight": 0.0845
  },
  {
   "source": 88,
   "target": 77,
   "weight": 0.0809
  },
  {
   "source": 89,
   "target": 91,
   "weight": 0.1551
  },
  {
   "source": 89,
   "target": 70,
   "weight": 0.1223
  },
  {
   "source": 89,
   "target": 77,
   "weight": 0.1099
  },
  {
   "source": 89,
   "target": 66,
   "weight": 0.0846
  },
  {
   "source": 90,
   "target": 82,
   "weight": 0.1105
  },
  {
   "source": 90,
   "target": 84,
   "weight": 0.0693
  },
  {
   "source": 90,
   "target": 92,
   "weight": 0.0692
  },
  {
   "source": 90,
   "target": 67,
   "weight": 0.0678
  },
  {
   "source": 91,
   "target": 70,
   "weight": 0.2698
  },
  {
   "source": 91,
   "target": 67,
   "weight": 0.2086
  },
  {
   "source": 91,
   "target": 77,
   "weight": 0.1645
  },
  {
   "source": 91,
   "target": 89,
   "weight": 0.1551
  },
  {
   "source": 92,
   "target": 83,
   "weight": 0.3414
  },
  {
   "source": 92,
   "target": 94,
   "weight": 0.1625
  },
  {
   "source": 92,
   "target": 86,
   "weight": 0.0726
  },
  {
   "source": 92,
   "target": 93,
   "weight": 0.0714
  },
  {
   "source": 93,
   "target": 86,
   "weight": 0.0983
  },
  {
   "source": 93,
   "target": 64,
   "weight": 0.0753
  },
  {
   "source": 93,
   "target": 81,
   "weight": 0.0721
  },
  {
   "source": 93,
   "target": 92,
   "weight": 0.0714
  },
  {
   "source": 94,
   "target": 92,
   "weight": 0.1625
  },
  {
   "source": 94,
   "target": 83,
   "weight": 0.1398
  },
  {
   "source": 94,
   "target": 72,
   "weight": 0.0626
  },
  {
   "source": 94,
   "target": 93,
   "weight": 0.0524
  },
  {
   "source": 95,
   "target": 103,
   "weight": 0.2378
  },
  {
   "source": 95,
   "target": 99,
   "weight": 0.1351
  },
  {
   "source": 95,
   "target": 107,
   "weight": 0.1139
  },
  {
   "source": 95,
   "target": 104,
   "weight": 0.1072
  },
  {
   "source": 96,
   "target": 107,
   "weight": 0.1008
  },
  {
   "source": 96,
   "target": 95,
   "weight": 0.0944
  },
  {
   "source": 96,
   "target": 99,
   "weight": 0.093
  },
  {
   "source": 96,
   "target": 108,
   "weight": 0.0838
  },
  {
   "source": 97,
   "target": 104,
   "weight": 0.1296
  },
  {
   "source": 97,
   "target": 105,
   "weight": 0.1139
  },
  {
   "source": 97,
   "target": 102,
   "weight": 0.0806
  },
  {
   "source": 97,
   "target": 107,
   "weight": 0.0783
  },
  {
   "source": 98,
   "target": 100,
   "weight": 0.1744
  },
  {
   "source": 98,
   "target": 95,
   "weight": 0.0767
  },
  {
   "source": 98,
   "target": 108,
   "weight": 0.0727
  },
  {
   "source": 98,
   "target": 103,
   "weight": 0.0704
  },
  {
   "source": 99,
   "target": 95,
   "weight": 0.1351
  },
  {
   "source": 99,
   "target": 103,
   "weight": 0.102
  },
  {
   "source": 99,
   "target": 96,
   "weight": 0.093
  },
  {
   "source": 99,
   "target": 101,
   "weight": 0.081
  },
  {
   "source": 100,
   "target": 98,
   "weight": 0.1744
  },
  {
   "source": 100,
   "target": 95,
   "weight": 0.0642
  },
  {
   "source": 100,
   "target": 103,
   "weight": 0.063
  },
  {
   "source": 100,
   "target": 99,
   "weight": 0.0621
  },
  {
   "source": 101,
   "target": 102,
   "weight": 0.0919
  },
  {
   "source": 101,
   "target": 108,
   "weight": 0.089
  },
  {
   "source": 101,
   "target": 105,
   "weight": 0.0864
  },
  {
   "source": 101,
   "target": 99,
   "weight": 0.081
  },
  {
   "source": 102,
   "target": 106,
   "weight": 0.2336
  },
  {
   "source": 102,
   "target": 108,
   "weight": 0.1184
  },
  {
   "source": 102,
   "target": 104,
   "weight": 0.1154
  },
  {
   "source": 102,
   "target": 101,
   "weight": 0.0919
  },
  {
   "source": 103,
   "target": 95,
   "weight": 0.2378
  },
  {
   "source": 103,
   "target": 99,
   "weight": 0.102
  },
  {
   "source": 103,
   "target": 107,
   "weight": 0.0916
  },
  {
   "source": 103,
   "target": 106,
   "weight": 0.0876
  },
  {
   "source": 104,
   "target": 107,
   "weight": 0.1548
  },
  {
   "source": 104,
   "target": 97,
   "weight": 0.1296
  },
  {
   "source": 104,
   "target": 102,
   "weight": 0.1154
  },
  {
   "source": 104,
   "target": 95,
   "weight": 0.1072
  },
  {
   "source": 105,
   "target": 97,
   "weight": 0.1139
  },
  {
   "source": 105,
   "target": 101,
   "weight": 0.0864
  },
  {
   "source": 105,
   "target": 102,
   "weight": 0.073
  },
  {
   "source": 105,
   "target": 104,
   "weight": 0.0676
  },
  {
   "source": 106,
   "target": 102,
   "weight": 0.2336
  },
  {
   "source": 106,
   "target": 107,
   "weight": 0.1675
  },
  {
   "source": 106,
   "target": 108,
   "weight": 0.1104
  },
  {
   "source": 106,
   "target": 95,
   "weight": 0.0972
  },
  {
   "source": 107,
   "target": 106,
   "weight": 0.1675
  },
  {
   "source": 107,
   "target": 104,
   "weight": 0.1548
  },
  {
   "source": 107,
   "target": 108,
   "weight": 0.1378
  },
  {
   "source": 107,
   "target": 95,
   "weight": 0.1139
  },
  {
   "source": 108,
   "target": 107,
   "weight": 0.1378
  },
  {
   "source": 108,
   "target": 102,
   "weight": 0.1184
  },
  {
   "source": 108,
   "target": 106,
   "weight": 0.1104
  },
  {
   "source": 108,
   "target": 101,
   "weight": 0.089
  },
  {
   "source": 109,
   "target": 116,
   "weight": 0.1304
  },
  {
   "source": 109,
   "target": 118,
   "weight": 0.1135
  },
  {
   "source": 109,
   "target": 121,
   "weight": 0.1077
  },
  {
   "source": 109,
   "target": 120,
   "weight": 0.1014
  },
  {
   "source": 110,
   "target": 112,
   "weight": 0.1593
  },
  {
   "source": 110,
   "target": 113,
   "weight": 0.1392
  },
  {
   "source": 110,
   "target": 121,
   "weight": 0.1258
  },
  {
   "source": 110,
   "target": 118,
   "weight": 0.1154
  },
  {
   "source": 111,
   "target": 120,
   "weight": 0.1414
  },
  {
   "source": 111,
   "target": 118,
   "weight": 0.1335
  },
  {
   "source": 111,
   "target": 119,
   "weight": 0.1197
  },
  {
   "source": 111,
   "target": 116,
   "weight": 0.1108
  },
  {
   "source": 112,
   "target": 110,
   "weight": 0.1593
  },
  {
   "source": 112,
   "target": 121,
   "weight": 0.1083
  },
  {
   "source": 112,
   "target": 122,
   "weight": 0.0868
  },
  {
   "source": 112,
   "target": 119,
   "weight": 0.0717
  },
  {
   "source": 113,
   "target": 118,
   "weight": 0.1939
  },
  {
   "source": 113,
   "target": 110,
   "weight": 0.1392
  },
  {
   "source": 113,
   "target": 117,
   "weight": 0.1378
  },
  {
   "source": 113,
   "target": 114,
   "weight": 0.1314
  },
  {
   "source": 114,
   "target": 118,
   "weight": 0.2077
  },
  {
   "source": 114,
   "target": 117,
   "weight": 0.2055
  },
  {
   "source": 114,
   "target": 113,
   "weight": 0.1314
  },
  {
   "source": 114,
   "target": 121,
   "weight": 0.1091
  },
  {
   "source": 115,
   "target": 120,
   "weight": 0.1044
  },
  {
   "source": 115,
   "target": 122,
   "weight": 0.0916
  },
  {
   "source": 115,
   "target": 119,
   "weight": 0.0718
  },
  {
   "source": 115,
   "target": 112,
   "weight": 0.0701
  },
  {
   "source": 116,
   "target": 109,
   "weight": 0.1304
  },
  {
   "source": 116,
   "target": 111,
   "weight": 0.1108
  },
  {
   "source": 116,
   "target": 120,
   "weight": 0.0865
  },
  {
   "source": 116,
   "target": 121,
   "weight": 0.0788
  },
  {
   "source": 117,
   "target": 114,
   "weight": 0.2055
  },
  {
   "source": 117,
   "target": 113,
   "weight": 0.1378
  },
  {
   "source": 117,
   "target": 121,
   "weight": 0.1144
  },
  {
   "source": 117,
   "target": 109,
   "weight": 0.0981
  },
  {
   "source": 118,
   "target": 114,
   "weight": 0.2077
  },
  {
   "source": 118,
   "target": 113,
   "weight": 0.1939
  },
  {
   "source": 118,
   "target": 111,
   "weight": 0.1335
  },
  {
   "source": 118,
   "target": 110,
   "weight": 0.1154
  },
  {
   "source": 119,
   "target": 120,
   "weight": 0.132
  },
  {
   "source": 119,
   "target": 111,
   "weight": 0.1197
  },
  {
   "source": 119,
   "target": 109,
   "weight": 0.0958
  },
  {
   "source": 119,
   "target": 118,
   "weight": 0.0906
  },
  {
   "source": 120,
   "target": 111,
   "weight": 0.1414
  },
  {
   "source": 120,
   "target": 119,
   "weight": 0.132
  },
  {
   "source": 120,
   "target": 115,
   "weight": 0.1044
  },
  {
   "source": 120,
   "target": 109,
   "weight": 0.1014
  },
  {
   "source": 121,
   "target": 110,
   "weight": 0.1258
  },
  {
   "source": 121,
   "target": 117,
   "weight": 0.1144
  },
  {
   "source": 121,
   "target": 114,
   "weight": 0.1091
  },
  {
   "source": 121,
   "target": 112,
   "weight": 0.1083
  },
  {
   "source": 122,
   "target": 115,
   "weight": 0.0916
  },
  {
   "source": 122,
   "target": 112,
   "weight": 0.0868
  },
  {
   "source": 122,
   "target": 109,
   "weight": 0.0663
  },
  {
   "source": 122,
   "target": 111,
   "weight": 0.0554
  },
  {
   "source": 123,
   "target": 136,
   "weight": 0.2214
  },
  {
   "source": 123,
   "target": 135,
   "weight": 0.0568
  },
  {
   "source": 123,
   "target": 125,
   "weight": 0.0533
  },
  {
   "source": 123,
   "target": 131,
   "weight": 0.0386
  },
  {
   "source": 124,
   "target": 129,
   "weight": 0.2922
  },
  {
   "source": 124,
   "target": 132,
   "weight": 0.1358
  },
  {
   "source": 124,
   "target": 131,
   "weight": 0.1073
  },
  {
   "source": 124,
   "target": 136,
   "weight": 0.099
  },
  {
   "source": 125,
   "target": 135,
   "weight": 0.0971
  },
  {
   "source": 125,
   "target": 130,
   "weight": 0.0929
  },
  {
   "source": 125,
   "target": 134,
   "weight": 0.0878
  },
  {
   "source": 125,
   "target": 126,
   "weight": 0.0796
  },
  {
   "source": 126,
   "target": 131,
   "weight": 0.1007
  },
  {
   "source": 126,
   "target": 125,
   "weight": 0.0796
  },
  {
   "source": 126,
   "target": 130,
   "weight": 0.0709
  },
  {
   "source": 126,
   "target": 134,
   "weight": 0.0511
  },
  {
   "source": 127,
   "target": 130,
   "weight": 0.0655
  },
  {
   "source": 127,
   "target": 136,
   "weight": 0.0594
  },
  {
   "source": 127,
   "target": 133,
   "weight": 0.0517
  },
  {
   "source": 127,
   "target": 134,
   "weight": 0.0466
  },
  {
   "source": 128,
   "target": 131,
   "weight": 0.0642
  },
  {
   "source": 128,
   "target": 132,
   "weight": 0.061
  },
  {
   "source": 128,
   "target": 136,
   "weight": 0.058
  },
  {
   "source": 128,
   "target": 129,
   "weight": 0.0569
  },
  {
   "source": 129,
   "target": 124,
   "weight": 0.2922
  },
  {
   "source": 129,
   "target": 131,
   "weight": 0.169
  },
  {
   "source": 129,
   "target": 132,
   "weight": 0.1221
  },
  {
   "source": 129,
   "target": 136,
   "weight": 0.0959
  },
  {
   "source": 130,
   "target": 125,
   "weight": 0.0929
  },
  {
   "source": 130,
   "target": 135,
   "weight": 0.0793
  },
  {
   "source": 130,
   "target": 126,
   "weight": 0.0709
  },
  {
   "source": 130,
   "target": 127,
   "weight": 0.0655
  },
  {
   "source": 131,
   "target": 129,
   "weight": 0.169
  },
  {
   "source": 131,
   "target": 136,
   "weight": 0.1475
  },
  {
   "source": 131,
   "target": 124,
   "weight": 0.1073
  },
  {
   "source": 131,
   "target": 126,
   "weight": 0.1007
  },
  {
   "source": 132,
   "target": 124,
   "weight": 0.1358
  },
  {
   "source": 132,
   "target": 129,
   "weight": 0.1221
  },
  {
   "source": 132,
   "target": 133,
   "weight": 0.1086
  },
  {
   "source": 132,
   "target": 131,
   "weight": 0.0889
  },
  {
   "source": 133,
   "target": 132,
   "weight": 0.1086
  },
  {
   "source": 133,
   "target": 131,
   "weight": 0.0654
  },
  {
   "source": 133,
   "target": 128,
   "weight": 0.0518
  },
  {
   "source": 133,
   "target": 127,
   "weight": 0.0517
  },
  {
   "source": 134,
   "target": 125,
   "weight": 0.0878
  },
  {
   "source": 134,
   "target": 135,
   "weight": 0.065
  },
  {
   "source": 134,
   "target": 126,
   "weight": 0.0511
  },
  {
   "source": 134,
   "target": 129,
   "weight": 0.0492
  },
  {
   "source": 135,
   "target": 125,
   "weight": 0.0971
  },
  {
   "source": 135,
   "target": 136,
   "weight": 0.0846
  },
  {
   "source": 135,
   "target": 130,
   "weight": 0.0793
  },
  {
   "source": 135,
   "target": 124,
   "weight": 0.0676
  },
  {
   "source": 136,
   "target": 123,
   "weight": 0.2214
  },
  {
   "source": 136,
   "target": 131,
   "weight": 0.1475
  },
  {
   "source": 136,
   "target": 124,
   "weight": 0.099
  },
  {
   "source": 136,
   "target": 129,
   "weight": 0.0959
  },
  {
   "source": 137,
   "target": 140,
   "weight": 0.1512
  },
  {
   "source": 137,
   "target": 156,
   "weight": 0.1021
  },
  {
   "source": 137,
   "target": 151,
   "weight": 0.0938
  },
  {
   "source": 137,
   "target": 150,
   "weight": 0.0879
  },
  {
   "source": 138,
   "target": 159,
   "weight": 0.1986
  },
  {
   "source": 138,
   "target": 143,
   "weight": 0.1559
  },
  {
   "source": 138,
   "target": 141,
   "weight": 0.144
  },
  {
   "source": 138,
   "target": 142,
   "weight": 0.0756
  },
  {
   "source": 139,
   "target": 157,
   "weight": 0.1648
  },
  {
   "source": 139,
   "target": 145,
   "weight": 0.1608
  },
  {
   "source": 139,
   "target": 158,
   "weight": 0.113
  },
  {
   "source": 139,
   "target": 156,
   "weight": 0.1043
  },
  {
   "source": 140,
   "target": 151,
   "weight": 0.2655
  },
  {
   "source": 140,
   "target": 137,
   "weight": 0.1512
  },
  {
   "source": 140,
   "target": 150,
   "weight": 0.1337
  },
  {
   "source": 140,
   "target": 157,
   "weight": 0.0828
  },
  {
   "source": 141,
   "target": 138,
   "weight": 0.144
  },
  {
   "source": 141,
   "target": 159,
   "weight": 0.1172
  },
  {
   "source": 141,
   "target": 143,
   "weight": 0.098
  },
  {
   "source": 141,
   "target": 146,
   "weight": 0.0962
  },
  {
   "source": 142,
   "target": 152,
   "weight": 0.2037
  },
  {
   "source": 142,
   "target": 147,
   "weight": 0.1888
  },
  {
   "source": 142,
   "target": 157,
   "weight": 0.0872
  },
  {
   "source": 142,
   "target": 138,
   "weight": 0.0756
  },
  {
   "source": 143,
   "target": 159,
   "weight": 0.1811
  },
  {
   "source": 143,
   "target": 138,
   "weight": 0.1559
  },
  {
   "source": 143,
   "target": 146,
   "weight": 0.1105
  },
  {
   "source": 143,
   "target": 141,
   "weight": 0.098
  },
  {
   "source": 144,
   "target": 147,
   "weight": 0.1641
  },
  {
   "source": 144,
   "target": 155,
   "weight": 0.1072
  },
  {
   "source": 144,
   "target": 149,
   "weight": 0.0739
  },
  {
   "source": 144,
   "target": 157,
   "weight": 0.0509
  },
  {
   "source": 145,
   "target": 139,
   "weight": 0.1608
  },
  {
   "source": 145,
   "target": 158,
   "weight": 0.1213
  },
  {
   "source": 145,
   "target": 157,
   "weight": 0.0734
  },
  {
   "source": 145,
   "target": 152,
   "weight": 0.0678
  },
  {
   "source": 146,
   "target": 156,
   "weight": 0.165
  },
  {
   "source": 146,
   "target": 143,
   "weight": 0.1105
  },
  {
   "source": 146,
   "target": 141,
   "weight": 0.0962
  },
  {
   "source": 146,
   "target": 159,
   "weight": 0.0905
  },
  {
   "source": 147,
   "target": 155,
   "weight": 0.2467
  },
  {
   "source": 147,
   "target": 153,
   "weight": 0.2302
  },
  {
   "source": 147,
   "target": 149,
   "weight": 0.2276
  },
  {
   "source": 147,
   "target": 152,
   "weight": 0.2209
  },
  {
   "source": 148,
   "target": 158,
   "weight": 0.172
  },
  {
   "source": 148,
   "target": 157,
   "weight": 0.1441
  },
  {
   "source": 148,
   "target": 150,
   "weight": 0.1359
  },
  {
   "source": 148,
   "target": 149,
   "weight": 0.0934
  },
  {
   "source": 149,
   "target": 147,
   "weight": 0.2276
  },
  {
   "source": 149,
   "target": 153,
   "weight": 0.1486
  },
  {
   "source": 149,
   "target": 152,
   "weight": 0.1097
  },
  {
   "source": 149,
   "target": 148,
   "weight": 0.0934
  },
  {
   "source": 150,
   "target": 151,
   "weight": 0.2182
  },
  {
   "source": 150,
   "target": 148,
   "weight": 0.1359
  },
  {
   "source": 150,
   "target": 140,
   "weight": 0.1337
  },
  {
   "source": 150,
   "target": 137,
   "weight": 0.0879
  },
  {
   "source": 151,
   "target": 140,
   "weight": 0.2655
  },
  {
   "source": 151,
   "target": 150,
   "weight": 0.2182
  },
  {
   "source": 151,
   "target": 137,
   "weight": 0.0938
  },
  {
   "source": 151,
   "target": 153,
   "weight": 0.0696
  },
  {
   "source": 152,
   "target": 147,
   "weight": 0.2209
  },
  {
   "source": 152,
   "target": 142,
   "weight": 0.2037
  },
  {
   "source": 152,
   "target": 157,
   "weight": 0.1318
  },
  {
   "source": 152,
   "target": 149,
   "weight": 0.1097
  },
  {
   "source": 153,
   "target": 147,
   "weight": 0.2302
  },
  {
   "source": 153,
   "target": 149,
   "weight": 0.1486
  },
  {
   "source": 153,
   "target": 151,
   "weight": 0.0696
  },
  {
   "source": 153,
   "target": 155,
   "weight": 0.0633
  },
  {
   "source": 154,
   "target": 157,
   "weight": 0.0852
  },
  {
   "source": 154,
   "target": 139,
   "weight": 0.0822
  },
  {
   "source": 154,
   "target": 146,
   "weight": 0.0689
  },
  {
   "source": 154,
   "target": 158,
   "weight": 0.0605
  },
  {
   "source": 155,
   "target": 147,
   "weight": 0.2467
  },
  {
   "source": 155,
   "target": 144,
   "weight": 0.1072
  },
  {
   "source": 155,
   "target": 157,
   "weight": 0.0661
  },
  {
   "source": 155,
   "target": 153,
   "weight": 0.0633
  },
  {
   "source": 156,
   "target": 146,
   "weight": 0.165
  },
  {
   "source": 156,
   "target": 139,
   "weight": 0.1043
  },
  {
   "source": 156,
   "target": 137,
   "weight": 0.1021
  },
  {
   "source": 156,
   "target": 143,
   "weight": 0.0956
  },
  {
   "source": 157,
   "target": 139,
   "weight": 0.1648
  },
  {
   "source": 157,
   "target": 148,
   "weight": 0.1441
  },
  {
   "source": 157,
   "target": 152,
   "weight": 0.1318
  },
  {
   "source": 157,
   "target": 158,
   "weight": 0.1282
  },
  {
   "source": 158,
   "target": 148,
   "weight": 0.172
  },
  {
   "source": 158,
   "target": 157,
   "weight": 0.1282
  },
  {
   "source": 158,
   "target": 145,
   "weight": 0.1213
  },
  {
   "source": 158,
   "target": 139,
   "weight": 0.113
  },
  {
   "source": 159,
   "target": 138,
   "weight": 0.1986
  },
  {
   "source": 159,
   "target": 143,
   "weight": 0.1811
  },
  {
   "source": 159,
   "target": 141,
   "weight": 0.1172
  },
  {
   "source": 159,
   "target": 146,
   "weight": 0.0905
  },
  {
   "source": 160,
   "target": 162,
   "weight": 0.1724
  },
  {
   "source": 160,
   "target": 112,
   "weight": 0.1697
  },
  {
   "source": 160,
   "target": 161,
   "weight": 0.1655
  },
  {
   "source": 160,
   "target": 6,
   "weight": 0.1639
  },
  {
   "source": 161,
   "target": 160,
   "weight": 0.1655
  },
  {
   "source": 161,
   "target": 112,
   "weight": 0.1037
  },
  {
   "source": 161,
   "target": 113,
   "weight": 0.0963
  },
  {
   "source": 161,
   "target": 157,
   "weight": 0.0937
  },
  {
   "source": 162,
   "target": 160,
   "weight": 0.1724
  },
  {
   "source": 162,
   "target": 112,
   "weight": 0.1067
  },
  {
   "source": 162,
   "target": 105,
   "weight": 0.0937
  },
  {
   "source": 162,
   "target": 6,
   "weight": 0.0922
  }
 ]
}