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Node Attitude Aware Information Dissemination Model Based on Evolutionary Game in Social Networks

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Abstract

The information dissemination in social networks is affected by many factors. However, node attitude which is an important influence factor of information dissemination in social network have not been fully considered in the previous works. Aiming at the problem of the influence of node attitude on information dissemination, this paper proposes an information propagation model based on evolutionary game. Firstly, from the individual point of view, the node’s attitude update rules are defined according to non-Bayesian social learning rules. Secondly, an inter-node game matrix based on attitude value is established. Based on the evolution analysis paradigm, an information dissemination model based on node attitude is established. The equilibrium solution of dynamic equations is replicated for both positive and negative attitudes, and the corresponding equilibrium points are stabilized. The validity of the proposed model is verified by numerical analysis and simulation experiments. They all show that the different attitudes of nodes play an important role in information dissemination.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under Grant No. 61871062, and in part by the Scientific Research Foundation of CQUPT under Grant No. A2018-07.

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Authors and Affiliations

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

    Hongcheng Huang, Tingting Wang, Min Hu, Mengyuan Dong & Licheng Lai

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  1. Hongcheng Huang
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  2. Tingting Wang
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  3. Min Hu
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  4. Mengyuan Dong
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  5. Licheng Lai
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Correspondence to Hongcheng Huang.

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Huang, H., Wang, T., Hu, M. et al. Node Attitude Aware Information Dissemination Model Based on Evolutionary Game in Social Networks. Mobile Netw Appl 26, 114–129 (2021). https://doi.org/10.1007/s11036-020-01685-2

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