期刊
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
卷 45, 期 2, 页码 214-222出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2014.2360505
关键词
Data-driven; human dynamics; interaction pattern; motifs; temporal networks
资金
- National Key Basic Research and Development Program [2010CB731403]
- National Science Fund for Distinguished Young Scholar of China [61425019]
- National Natural Science Foundation [61273223]
- Research Fund for the Doctoral Program of Higher Education [20120071110029]
- Key Project of National Social Science Fund of China [12ZD18]
Modern information and communication technologies provide digital traces of human interactive activities, which offer novel avenues to map and analyze temporal features of human interaction networks. This paper explores mesoscopic patterns of human interactive activities from six real-world interaction networks with temporal-topological isomorphic subgraphs, i.e., temporal motifs. We discover two dominant mutual motifs, Star, Ordered-chain, and one dominant directed motif, Ping-Pong, which characterize the interactive patterns of Leader, Queue, and Feedback, respectively. Moreover, temporal dynamics shows that bursts are universal in human mesoscopic patterns, and the evolution of three dominant temporal motifs indicates the existence of characteristic time. Finally, we analyze temporal robustness and generalization to verify that 3-event temporal motifs are a simple yet powerful tool to capture the mesoscopic patterns of human interactive activities.
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