WiFi覆盖的大学校园内大规模人群的两类室内交互动力学
Two Categories of Indoor Interactive Dynamics of a Large-scale Human Population in a WiFi covered university campus
摘要：
为了探索大规模人群室内交互，我们分析了中国大学校园内3个月内18，715名用户的WiFi访问日志，并定义了两类人类交互，事件交互（EI）和时间交互（TI）。EI帮助构建一个传输图，TI帮助构建一个区间图。研究结果表明，企业信息系统的活动持续时间服从截尾幂律分布，与参与个体的数量无关。传输持续时间在日时间尺度上呈现截断幂律行为，具有周周期性。此外，聚合接触网络中的那些“叶子”个体可以参与聚合传输图中的“超级连接集团”。通过对区间图的动力学分析，我们发现TI的事件间持续时间的概率分布也呈现出以周为周期的日时间尺度上的截断幂律模式，而具有爆发性交互的成对个体倾向于随机选择交互位置，而具有周期性交互的个体则具有偏好的交互位置。
英文摘要：
To explore large-scale population indoor interactions, we analyze 18,715 users' WiFi access logs recorded in a Chinese university campus during 3 months, and define two categories of human interactions, the event interaction (EI) and the temporal interaction (TI). The EI helps construct a transmission graph, and the TI helps build an interval graph. The dynamics of EIs show that their active durations are truncated power-law distributed, which is independent on the number of involved individuals. The transmission duration presents a truncated power-law behavior at the daily timescale with weekly periodicity. Besides, those `leaf' individuals in the aggregated contact network may participate in the `super-connecting cliques' in the aggregated transmission graph. Analyzing the dynamics of the interval graph, we find that the probability distribution of TIs' inter-event duration also displays a truncated power-law pattern at the daily timescale with weekly periodicity, while the pairwise individuals with burst interactions are prone to randomly select their interactive locations, and those individuals with periodic interactions have preferred interactive locations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
