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Information Propagation in Online Social Network Based on Human Dynamics

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  • Qiang Yan
  • Lianren Wu
  • Chao Liu
  • Xiye Li

Abstract

We investigate the impact of human dynamics on the information propagation in online social networks. First, statistical properties of the human behavior are studied using the data from “Sina Microblog,” which is one of the most popular online social networks in China. We find that human activity patterns are heterogeneous and bursty and are often described by a power‐law interevent time distribution P(τ) ~ τ−α. Second, we proposed an extended Susceptible‐Infected (SI) propagation model to incorporate bursty and limited attention. We unveil how bursty human behavior and limited attention affect the information propagation in online social networks. The result in this paper can be useful for optimizing or controlling information propagation in online social networks.

Suggested Citation

  • 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).
    • Handle: RePEc:wly:jnlaaa:v:2013:y:2013:i:1:n:953406
    DOI: 10.1155/2013/953406
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    References listed on IDEAS

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    1. 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).
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    Cited by:

    1. Yan Lin & Huaxian Li & Xueqiao Liu & Suohai Fan, 2013. "Hot Topic Propagation Model and Opinion Leader Identifying Model in Microblog Network," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).

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