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Information spreading on mobile communication networks: A new model that incorporates human behaviors

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  • Ren, Fei
  • Li, Sai-Ping
  • Liu, Chuang

Abstract

Recently, there is a growing interest in the modeling and simulation based on real social networks among researchers in multi-disciplines. Using an empirical social network constructed from the calling records of a Chinese mobile service provider, we here propose a new model to simulate the information spreading process. This model takes into account two important ingredients that exist in real human behaviors: information prevalence and preferential spreading. The fraction of informed nodes when the system reaches an asymptotically stable state is primarily determined by information prevalence, and the heterogeneity of link weights would slow down the information diffusion. Moreover, the sizes of blind clusters which consist of connected uninformed nodes show a power-law distribution, and these uninformed nodes correspond to a particular portion of nodes which are located at special positions in the network, namely at the edges of large clusters or inside the clusters connected through weak links. Since the simulations are performed on a real world network, the results should be useful in the understanding of the influences of social network structures and human behaviors on information propagation.

Suggested Citation

  • Ren, Fei & Li, Sai-Ping & Liu, Chuang, 2017. "Information spreading on mobile communication networks: A new model that incorporates human behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 334-341.
  • Handle: RePEc:eee:phsmap:v:469:y:2017:i:c:p:334-341
    DOI: 10.1016/j.physa.2016.11.027
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    References listed on IDEAS

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    1. Sen Pei & Lev Muchnik & Shaoting Tang & Zhiming Zheng & Hernán A Makse, 2015. "Exploring the Complex Pattern of Information Spreading in Online Blog Communities," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    2. Fei Ren & Wei-Xing Zhou, 2013. "Analysis of trade packages in the Chinese stock market," Quantitative Finance, Taylor & Francis Journals, vol. 13(7), pages 1071-1089, January.
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    Cited by:

    1. Suo, Qi & Guo, Jin-Li & Shen, Ai-Zhong, 2018. "Information spreading dynamics in hypernetworks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 475-487.
    2. Jiang, Yubo & Du, Xin & Jin, Tao, 2019. "Using combined network information to predict mobile application usage," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 430-439.
    3. Zhou, Bin & Xu, Xiao-Ting & Liu, Jian-Guo & Xu, Xiao-Ke & Wang, Nianxin, 2019. "Information interaction model for the mobile communication networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1170-1176.

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