Information interaction model for the mobile communication networks

Bin Zhou, Xiao-Ting Xu, Jian-Guo Liu, Xiao-Ke Xu and Nianxin Wang

Physica A: Statistical Mechanics and its Applications, 2019, vol. 525, issue C, 1170-1176

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.

Keywords: Mobile communication network; Information interaction; Weight distribution; Degree distribution (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:525:y:2019:i:c:p:1170-1176

DOI: 10.1016/j.physa.2019.04.072

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