An interactive propagation model of multiple information in complex networks

Yao Yao, Yuanyuan Li, Xi Xiong, Yue Wu, Honggang Lin and Shenggen Ju

Physica A: Statistical Mechanics and its Applications, 2020, vol. 537, issue C

Abstract: The relationships between information are intertwined when they are spreading in the network simultaneously. In order to study the impact of different interactions between information on the propagation and find the characteristics of multiple information propagation, we introduce the concept of interaction factor to describe the different relationships between information. Then we model the multiple information propagation based on the Susceptible–Infective–Removed (SIR) model. Based on the proposed model, we set up the dynamic equations by a Markov chain method, and theoretically analyze the propagation threshold. Extensive experiments were conducted on two real datasets and an artificially generated network dataset. The results verify the propagation threshold and show that the different relationships between information have different impact on information propagation.

Keywords: Multiple information; Information propagation; Complex network; Interaction factor; Propagation threshold (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:537:y:2020:i:c:s0378437119315705

DOI: 10.1016/j.physa.2019.122764

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