Network analysis of groups in the social bulk reflect election outcomes.

The five political ecosystems from the bulk network are ranked against their topological features: i) interaction volume, i.e. the number of social actions within the group; ii) size, i.e. the number of individuals in the group. The rank based on online interactions strongly mirrors the election outcome (Spearman ρ = 0.9, p-value = 0.039), supporting the hypothesis that online social interactions are tightly entwined to outcomes and events in the real-world.本整体网络中的五个政治生态系统，依据其拓扑特征进行排序：i）互动量，即群体内部的社会行动总数量；ii）群体规模，即群体内的个体总数量。基于线上互动得到的排名与选举结果高度吻合（斯皮尔曼秩相关系数 (Spearman ρ) = 0.9, p值 = 0.039），该结果支持了‘线上社会互动与现实世界中的选举结果及各类事件紧密关联’的假说。