ArticleScientific reports2017
Emergence of hysteresis loop in social contagions on complex networks.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Early warning signals from the periphery: A model suggestion for the study of critical transitions.Journal of computational social science · 2022Article
- Dynamics of SIR model with vaccination and heterogeneous behavioral response of individuals modeled by the Preisach operator.Journal of mathematical biology · 2021Article
- Coevolution spreading in complex networks.Physics reports · 2019Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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