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Information interaction model for the mobile communication networks

Author

Listed:
  • Zhou, Bin
  • Xu, Xiao-Ting
  • Liu, Jian-Guo
  • Xu, Xiao-Ke
  • Wang, Nianxin

Abstract

Understanding the information interaction mechanism of the mobile communication networks is great significant for understanding the human communication pattern. In this paper, a mobile communication network is constructed from the mobile phone call records of one specific city in China. We assign one weight on each edge to reflect the strength of social tie, which is the cumulative number of calls placed between the individuals. The experimental results of the weight distribution follows a power-law. In the mobile communication network with strong tie, the degree distribution also follows a power-law. From the perspective of the information interaction between individuals, the evolution mechanism of the mobile communication networks is given to explain the logical relation between the information interaction and the topology structure. Then a novel model based on the evolution mechanism is proposed to reproduce the topology characteristics of the mobile communication network. The analysis solutions of the weight distribution and the degree distribution in the model are presented. The model can help us to understand the law of the human information interaction and has significant implications for dynamic simulation researches of social networks, especially in information diffusion through the social networks.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:525:y:2019:i:c:p:1170-1176
    DOI: 10.1016/j.physa.2019.04.072
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    References listed on IDEAS

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    1. Zhou, Bin & Yan, Xiao-Yong & Xu, Xiao-Ke & Xu, Xiao-Ting & Wang, Nianxin, 2018. "Evolutionary of online social networks driven by pareto wealth distribution and bidirectional preferential attachment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 427-434.
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    2. Wang, Xi & Pei, Tao & Song, Ci & Chen, Jie & Shu, Hua & Liu, Yaxi & Guo, Sihui & Chen, Xiao, 2023. "How does socioeconomic status influence social relations? A perspective from mobile phone data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).

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