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Method of analyzing the influence of network structure on information diffusion

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  • Nagata, Katsuya
  • Shirayama, Susumu

Abstract

Social phenomena are affected by the structure of networks consisting of personal relationships. In the present paper, the diffusion of information among people is examined. In particular, the relationship between the network structure and the dynamics is studied. First, several networks are generated using the proposed network model and other network models, such as the WS model and the KE model. By changing the parameters of the network models, networks with different structures are generated. The parameters of the network models determine the topology of the networks and the statistical indicators.

Suggested Citation

  • Nagata, Katsuya & Shirayama, Susumu, 2012. "Method of analyzing the influence of network structure on information diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(14), pages 3783-3791.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:14:p:3783-3791
    DOI: 10.1016/j.physa.2012.02.031
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    References listed on IDEAS

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    1. Cowan, Robin & Jonard, Nicolas, 2004. "Network structure and the diffusion of knowledge," Journal of Economic Dynamics and Control, Elsevier, vol. 28(8), pages 1557-1575, June.
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    4. S. J. Hardiman & P. Richmond & S. Hutzler, 2009. "Calculating statistics of complex networks through random walks with an application to the on-line social network Bebo," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 611-622, October.
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    Cited by:

    1. Zheng, Liping & Xu, Hedong & Tian, Cunzhi & Fan, Suohai, 2021. "Evolutionary dynamics of information in the market: Transmission and trust," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).

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