Coupled propagation dynamics on multiplex activity-driven networks

Autor:	Dongqing Geng, Tao Lin, Li Ding, Ping Hu
Rok vydání:	2021
Předmět:	Statistics and Probability Coupling (physics) Computer science 0103 physical sciences Dynamics (mechanics) Process (computing) Multiplex 010306 general physics Condensed Matter Physics Human behavior Biological system 01 natural sciences 010305 fluids & plasmas
Zdroj:	Physica A: Statistical Mechanics and its Applications. 561:125212
ISSN:	0378-4371
DOI:	10.1016/j.physa.2020.125212
Popis:	It is increasingly recognized that human behaviors play an important role in the social information propagation. In this paper, we proposed a novel model coupling the behavior spreading with the information propagation on a two-layer activity-driven network. Based on this model, we explored the influence of behavior spreading on the information propagation process. The outbreak threshold of information propagation was analyzed and the results revealed a two-stage characteristic. Extensive numerical simulations were carried out to illustrate the theoretical results and further investigate the coupled dynamics on multiplex activity-driven networks.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1e3850db3a504ad33b9a275a81973ea6 https://doi.org/10.1016/j.physa.2020.125212 Zobrazit plný text záznamu Full Text from ScienceDirect