建立关联：从意见领袖影响到标准关联测度
Bridging Dependence: From Opinion Leader Influence to Standard Correlation Measures
- TU Dresden（德累斯顿工业大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文将意见领袖模型转化为协方差、相关系数等标准关联测度，在投票关联模型间搭建概念桥梁，为推广孔多塞陪审团定理提供统一框架，便于跨框架应用理论结果。
AI中文摘要：
作为社会选择与民主理论的基石性成果，孔多塞陪审团定理（Condorcet Jury Theorem, CJT）在理想条件下为多数决策的正确性提供概率保障，尤其假设选民统计独立。在推广原始CJT时，文献中建模关联的标准方法是引入外部意见领袖（Opinion Leader, OL），其影响会作用于个体投票行为。本文迈出构建关联建模统一框架的第一步，将OL模型转化为协方差、相关系数等标准关联测度，这些转化在投票文献的不同关联模型间搭建了概念桥梁，便于跨框架应用现有理论结果。
英文摘要：
As a cornerstone result of social choice and democracy the- ory, the Condorcet Jury Theorem (CJT) provides probabilistic guaran- tees for the correctness of majority decisions under idealized conditions, in particular assuming that voters are statistically independent. When generalizing the original CJT, a standard approach in the literature to model dependence introduces an external opinion leader (OL) whose in- fluence affects individual voting behavior. In this paper, we take the first steps toward a unified framework for modeling dependence by translat- ing the OL model into standard correlation measures, namely covariance and correlation coefficient. These translations build conceptual bridges between different dependence models in the voting literature and facili- tate the application of existing theoretical results across frameworks.
