Affiliation:
1. Yellow River Conservancy Technical Institute, Kaifeng, Henan Province 475004, China
Abstract
Coevolution spreading dynamics on complex networks is a hot topic, which attracts much attention in network science. This paper proposes a mathematical model to describe the two competing complex information spreading dynamics on multiplex networks. An individual can only accept one of the two pieces of information. A heterogeneous mean-field theory is developed to describe the spreading dynamics. We reveal different regions through Monte Carlo simulations of the competing complex information spreading dynamics: no global information, one information dominant, and two information coexistence. We finally find that the heterogeneity of the multiplex networks’ degree distributions does not qualitatively affect the results.
Funder
Ministry of Education of the People's Republic of China
Subject
Multidisciplinary,General Computer Science
Cited by
2 articles.
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