A Social Network Information Dissemination Model Based on Evolutionary Game Considering Node’s Attitude

Huang, Hongcheng and Lai, Licheng and Hu, Min and Dong, Mengyuan and Wang, Tingting (2019) A Social Network Information Dissemination Model Based on Evolutionary Game Considering Node’s Attitude. In: Mobimedia 2019, 29-30 Oct 2019, Wehai, China.

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Abstract

As a kind of social attribute of bounded rational users, attitude continuously selects and updates in the process of interaction between nodes, which makes the behavioral game between communication subjects and affects the dissemination of information. To analyze the impact of attitude changes on information, this paper proposes an information propagation model based on evolutionary game. Firstly, from the individual point of view, the update rules of the node's attitude are defined according to non-Bayesian social learning rules. Secondly, the game matrix between nodes based on attitude value is established, and the information dissemination model based on node attitude is established according to the evolutionary analysis paradigm. By replicating the equilibrium solution of dynamic equations with both positive and negative attitudes, and analyzing the stability of the corresponding equilibrium points, the evolution mechanism of dynamic interaction between attitude nodes is obtained. Finally, the impact of different attitudes on information dissemination was analyzed by combining SIS model. The validity of the proposed model is verified by numerical analysis and simulation experiments, and the simulation results show that the change of different attitude of nodes plays an important role in information dissemination.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: social network information dissemination evolutionary game node attitude
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor I.
Date Deposited: 10 Sep 2020 15:07
Last Modified: 10 Sep 2020 15:07
URI: https://eprints.eudl.eu/id/eprint/216

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