Volume 123, Number 6, September 2018
|Number of page(s)||7|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||24 October 2018|
A dynamic message-passing approach for social contagion in time-varying multiplex networks
1 College of Computer Science and Technology, Chongqing University of Posts and Telecommunications Chongqing 400065, China
2 Chongqing MII Key Lab. of Computer Networks & Communications - Chongqing 400065, China
3 Potsdam Institute for Climate Impact Research - Potsdam D-14473, Germany
Received: 13 July 2018
Accepted: 17 September 2018
The information about social behavior diffusion on a communication network and the social behavior contagion through a physical-contact network are two related dynamical processes. We investigate here an asymmetrically interacting, double-layer network to elucidate the interplay between information diffusion on a time-varying network and the social contagion on the counterpart layer. We uncover that the time-varying character affects the final adoption size. We also find that the behavior spreading in the physical-contact network introduces the adoption size from first to second order. A maximizing area of the difference between the final infected size and the adoption size appears in a suitable range of the behavioral information transmission rate and the initial seed size. We develop a dynamic message-passing theory to understand the interplay between both types of spreading dynamics.
PACS: 89.75.-k – Complex systems / 89.75.Fb – Structures and organization in complex systems / 89.20.Ff – Computer science and technology
© EPLA, 2018
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