Human comment dynamics in on-line social systems |
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Authors: | Ye Wu Changsong Zhou Jürgen Kurths |
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Institution: | a School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, PR Chinab Interdisciplinary Center for Dynamics of Complex Systems, University Potsdam, Am Neuen Palais 10, D-14469, Germanyc Department of Physics, Center for Nonlinear Studies, and The Beijing-Hong Kong-Singapore Joint Center for Nonlinear and Complex Systems (Hong Kong), Hong Kong Baptist University, Kowloon Tong, Hong Kong, Chinad Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing 100084, PR Chinae Potsdam Institute for Climate Impact Research (PIK), Telegraphenberg A31, 14473 Potsdam, Germanyf Institute of Physics, Humboldt University, 10099 Berlin, Germanyg Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen AB24 3UE, UK |
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Abstract: | Human comment is studied using data from ‘tianya’ which is one of the most popular on-line social systems in China. We found that the time interval between two consecutive comments on the same topic, called inter-event time, follows a power-law distribution. This result shows that there is no characteristic decay time on a topic. It allows for very long periods without comments that separate bursts of intensive comments. Furthermore, the frequency of a different ID commenting on a topic also follows a power-law distribution. It indicates that there are some “hubs” in the topic who lead the direction of the public opinion. Based on the personal comments habit, a model is introduced to explain these phenomena. The numerical simulations of the model fit well with the empirical results. Our findings are helpful for discovering regular patterns of human behavior in on-line society and the evolution of the public opinion on the virtual as well as real society. |
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Keywords: | Human dynamics On-line social systems Power-law distribution |
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