用社交网络分析揭示信用卡纠纷中的法律适用规律，提升数字法院效率
Optimizing Digital Adjudication through Social Network Analysis: An Empirical Study of Credit Card Disputes in Beijing
- 构建法律引用网络，挖掘实体与程序法的深层应用模式
- 识别核心法律规范，实现案件类型化与高效检索
- 适合司法智能化、数据驱动审判研究者参考
随着司法系统数字化加速，大数据在裁判中的应用仍不充分，尤其缺乏对法律适用结构性逻辑的揭示。本研究以北京个人信息安全保护类信用卡纠纷为对象，运用社会网络分析（SNA）构建法律引用网络，揭示实体法与程序法的实际应用模式。结果表明，SNA能有效识别核心法律规范并实现案件类型划分，为优化‘数字法院’提供方法论支持。研究为提升司法效率与一致性提供了基于数据的案例检索路径和全景式司法信息网络建设方案。
原文摘要 · Abstract (English)
Amid the rapid digitalization of judicial systems, the integration of big data into adjudication remains underexplored, particularly in uncovering the structural logic of legal applications. This study bridges this gap by employing social network analysis (SNA) to examine credit card disputes involving personal information protection adjudicated in Beijing. By constructing a legal citation network, we reveal the latent patterns of substantive and procedural law application. The findings demonstrate that SNA can effectively identify core legal norms and typify cases, offering a robust methodological framework for optimizing 'Digital Court' systems. These insights provide practical pathways for enhancing judicial efficiency and consistency through data-driven case retrieval and holistic judicial information networks.
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