Social contagions with communication channel alternation on multiplex networks

Wei Wang, Ming Tang, H. Eugene Stanley, and Lidia A. Braunstein
Phys. Rev. E 98, 062320 – Published 26 December 2018

Abstract

Internet communication channels, e.g., Facebook, Twitter, and email, are multiplex networks that facilitate interaction and information-sharing among individuals. During brief time periods users often use a single communication channel, but then communication channel alteration (CCA) occurs. This means that we must refine our understanding of the dynamics of social contagions. We propose a non-Markovian behavior spreading model in multiplex networks that takes into account the CCA mechanism, and we develop a generalized edge-based compartmental method to describe the spreading dynamics. Through extensive numerical simulations and theoretical analyses we find that the time delays induced by CCA slow the behavior spreading but do not affect the final adoption size. We also find that the CCA suppresses behavior spreading. On two coupled random regular networks, the adoption size exhibits hybrid growth, i.e., it grows first continuously and then discontinuously with the information transmission probability. CCA in Erdős-Rényi–Scale-Free (ER-SF) multiplex networks in which two subnetworks are ER and SF introduces a crossover from continuous to hybrid growth in adoption size versus information transmission probability. Our results extend our understanding of the role of CCA in spreading dynamics and may elicit further research.

  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Received 20 June 2018
  • Revised 30 November 2018

DOI:https://doi.org/10.1103/PhysRevE.98.062320

©2018 American Physical Society

Physics Subject Headings (PhySH)

Networks

Authors & Affiliations

Wei Wang1,2, Ming Tang3,4,*, H. Eugene Stanley5, and Lidia A. Braunstein6,5

  • 1Cybersecurity Research Institute, Sichuan University, Chengdu 610065, China
  • 2Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 610054, China
  • 3School of Information Science and Technology, East China Normal University, Shanghai, 200241, China
  • 4Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200241, China
  • 5Center for Polymer Studies and Department of Physics, Boston University, Boston, Massachusetts 02215, USA
  • 6Instituto de Investigaciones Físicas de Mar del Plata (IFIMAR)-Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Mar del Plata-CONICET, Funes 3350, (7600) Mar del Plata, Argentina

  • *tangminghan007@gmail.com

Article Text (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 98, Iss. 6 — December 2018

Reuse & Permissions
Access Options
CHORUS

Article Available via CHORUS

Download Accepted Manuscript
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review E

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×