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Phys Rev E. 2017 Jul;96(1-1):012306. doi: 10.1103/PhysRevE.96.012306. Epub 2017 Jul 5.

Social contagions on weighted networks.

Zhu YX1,2,3, Wang W3,4, Tang M3,4,5, Ahn YY6.

Author information

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

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.

PMID:
29347240
DOI:
10.1103/PhysRevE.96.012306
[Indexed for MEDLINE]

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