Social contagions on weighted networks

Yu-Xiao Zhu, Wei Wang, Ming Tang, and Yong-Yeol Ahn
Phys. Rev. E 96, 012306 – Published 5 July 2017

Abstract

We investigate critical behaviors of a social contagion model on weighted networks. An edge-weight compartmental approach is applied to analyze the weighted social contagion on strongly heterogenous networks with skewed degree and weight distributions. We find that degree heterogeneity cannot only alter the nature of contagion transition from discontinuous to continuous but also can enhance or hamper the size of adoption, depending on the unit transmission probability. We also show that the heterogeneity of weight distribution always hinders social contagions, and does not alter the transition type.

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  • Received 7 April 2016
  • Revised 10 May 2017

DOI:https://doi.org/10.1103/PhysRevE.96.012306

©2017 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
  1. Physical Systems
Networks

Authors & Affiliations

Yu-Xiao Zhu1,2,3, Wei Wang3,4, Ming Tang5,3,4,*, and Yong-Yeol Ahn6,†

  • 1School of Management, Guangdong University of Technology, Guangzhou 510520, China
  • 2School of Big Data and Strategy, Guangdong University of Technology, Guangzhou 510520, China
  • 3Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China
  • 4Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China
  • 5School of Information Science and Technology, East China Normal University, Shanghai 200241, China
  • 6School of Informatics and Computing, Indiana University, Bloomington, Indiana 47408, USA

  • *tangminghan007@gmail.com
  • yyahn@indiana.edu

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Issue

Vol. 96, Iss. 1 — July 2017

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