Emergence of hysteresis loop in social contagions on complex networks
Abstract Understanding the spreading mechanisms of social contagions in complex network systems has attracted much attention in the physics community. Here we propose a generalized threshold model to describe social contagions. Using extensive numerical simulations and theoretical analyses, we find...
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Nature Portfolio
2017
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oai:doaj.org-article:5d8c936ed1834bd6bae9eab0d48699262021-12-02T16:08:21ZEmergence of hysteresis loop in social contagions on complex networks10.1038/s41598-017-06286-w2045-2322https://doaj.org/article/5d8c936ed1834bd6bae9eab0d48699262017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-06286-whttps://doaj.org/toc/2045-2322Abstract Understanding the spreading mechanisms of social contagions in complex network systems has attracted much attention in the physics community. Here we propose a generalized threshold model to describe social contagions. Using extensive numerical simulations and theoretical analyses, we find that a hysteresis loop emerges in the system. Specifically, the steady state of the system is sensitive to the initial conditions of the dynamics of the system. In the steady state, the adoption size increases discontinuously with the transmission probability of information about social contagions, and trial size exhibits a non-monotonic pattern, i.e., it first increases discontinuously then decreases continuously. Finally we study social contagions on heterogeneous networks and find that network topology does not qualitatively affect our results.Zhen SuWei WangLixiang LiJinghua XiaoH. Eugene StanleyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-8 (2017) |
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Medicine R Science Q Zhen Su Wei Wang Lixiang Li Jinghua Xiao H. Eugene Stanley Emergence of hysteresis loop in social contagions on complex networks |
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Abstract Understanding the spreading mechanisms of social contagions in complex network systems has attracted much attention in the physics community. Here we propose a generalized threshold model to describe social contagions. Using extensive numerical simulations and theoretical analyses, we find that a hysteresis loop emerges in the system. Specifically, the steady state of the system is sensitive to the initial conditions of the dynamics of the system. In the steady state, the adoption size increases discontinuously with the transmission probability of information about social contagions, and trial size exhibits a non-monotonic pattern, i.e., it first increases discontinuously then decreases continuously. Finally we study social contagions on heterogeneous networks and find that network topology does not qualitatively affect our results. |
format |
article |
author |
Zhen Su Wei Wang Lixiang Li Jinghua Xiao H. Eugene Stanley |
author_facet |
Zhen Su Wei Wang Lixiang Li Jinghua Xiao H. Eugene Stanley |
author_sort |
Zhen Su |
title |
Emergence of hysteresis loop in social contagions on complex networks |
title_short |
Emergence of hysteresis loop in social contagions on complex networks |
title_full |
Emergence of hysteresis loop in social contagions on complex networks |
title_fullStr |
Emergence of hysteresis loop in social contagions on complex networks |
title_full_unstemmed |
Emergence of hysteresis loop in social contagions on complex networks |
title_sort |
emergence of hysteresis loop in social contagions on complex networks |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/5d8c936ed1834bd6bae9eab0d4869926 |
work_keys_str_mv |
AT zhensu emergenceofhysteresisloopinsocialcontagionsoncomplexnetworks AT weiwang emergenceofhysteresisloopinsocialcontagionsoncomplexnetworks AT lixiangli emergenceofhysteresisloopinsocialcontagionsoncomplexnetworks AT jinghuaxiao emergenceofhysteresisloopinsocialcontagionsoncomplexnetworks AT heugenestanley emergenceofhysteresisloopinsocialcontagionsoncomplexnetworks |
_version_ |
1718384530921881600 |