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To explore large-scale population indoor interactions, we analyze 18,715users' WiFi access logs recorded in a Chinese university campus during 3months, and define two categories of human interactions, the event interaction(EI) and the temporal interaction (TI). The EI helps construct a transmissiongraph, and the TI helps build an interval graph. The dynamics of EIs show thattheir active durations are truncated power-law distributed, which isindependent on the number of involved individuals. The transmission durationpresents a truncated power-law behavior at the daily timescale with weeklyperiodicity. Besides, those `leaf' individuals in the aggregated contactnetwork may participate in the `super-connecting cliques' in the aggregatedtransmission graph. Analyzing the dynamics of the interval graph, we find thatthe probability distribution of TIs' inter-event duration also displays atruncated power-law pattern at the daily timescale with weekly periodicity,while the pairwise individuals with burst interactions are prone to randomlyselect their interactive locations, and those individuals with periodicinteractions have preferred interactive locations.

Two Categories of Indoor Interactive Dynamics of a Large-scale Human Population in a WiFi covered university campus