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Analyzing, Modeling, and Simulation for Human Dynamics in Social Network

Author

Listed:
  • Yunpeng Xiao
  • Bai Wang
  • Yanbing Liu
  • Zhixian Yan
  • Xian Chen
  • Bin Wu
  • Guangxia Xu
  • Yuanni Liu

Abstract

This paper studies the human behavior in the top‐one social network system in China (Sina Microblog system). By analyzing real‐life data at a large scale, we find that the message releasing interval (intermessage time) obeys power law distribution both at individual level and at group level. Statistical analysis also reveals that human behavior in social network is mainly driven by four basic elements: social pressure, social identity, social participation, and social relation between individuals. Empirical results present the four elements′ impact on the human behavior and the relation between these elements. To further understand the mechanism of such dynamic phenomena, a hybrid human dynamic model which combines “interest” of individual and “interaction” among people is introduced, incorporating the four elements simultaneously. To provide a solid evaluation, we simulate both two‐agent and multiagent interactions with real‐life social network topology. We achieve the consistent results between empirical studies and the simulations. The model can provide a good understanding of human dynamics in social network.

Suggested Citation

  • Yunpeng Xiao & Bai Wang & Yanbing Liu & Zhixian Yan & Xian Chen & Bin Wu & Guangxia Xu & Yuanni Liu, 2012. "Analyzing, Modeling, and Simulation for Human Dynamics in Social Network," Abstract and Applied Analysis, John Wiley & Sons, vol. 2012(1).
    • Handle: RePEc:wly:jnlaaa:v:2012:y:2012:i:1:n:208791
    DOI: 10.1155/2012/208791
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    References listed on IDEAS

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    1. Stephen Eubank & Hasan Guclu & V. S. Anil Kumar & Madhav V. Marathe & Aravind Srinivasan & Zoltán Toroczkai & Nan Wang, 2004. "Modelling disease outbreaks in realistic urban social networks," Nature, Nature, vol. 429(6988), pages 180-184, May.
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    Cited by:

    1. Qiang Yan & Lianren Wu & Chao Liu & Xiye Li, 2013. "Information Propagation in Online Social Network Based on Human Dynamics," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).

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