Dynamics of social contagions with local trend imitation

Abstract Research on social contagion dynamics has not yet included a theoretical analysis of the ubiquitous local trend imitation (LTI) characteristic. We propose a social contagion model with a tent-like adoption probability to investigate the effect of this LTI characteristic on behavior spreadin...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Xuzhen Zhu, Wei Wang, Shimin Cai, H. Eugene Stanley
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
R
Q
Acceso en línea:https://doaj.org/article/b4d0c173c5da4ca68672cb38ef5bbf67
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:b4d0c173c5da4ca68672cb38ef5bbf67
record_format dspace
spelling oai:doaj.org-article:b4d0c173c5da4ca68672cb38ef5bbf672021-12-02T11:41:25ZDynamics of social contagions with local trend imitation10.1038/s41598-018-25006-62045-2322https://doaj.org/article/b4d0c173c5da4ca68672cb38ef5bbf672018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25006-6https://doaj.org/toc/2045-2322Abstract Research on social contagion dynamics has not yet included a theoretical analysis of the ubiquitous local trend imitation (LTI) characteristic. We propose a social contagion model with a tent-like adoption probability to investigate the effect of this LTI characteristic on behavior spreading. We also propose a generalized edge-based compartmental theory to describe the proposed model. Through extensive numerical simulations and theoretical analyses, we find a crossover in the phase transition: when the LTI capacity is strong, the growth of the final adoption size exhibits a second-order phase transition. When the LTI capacity is weak, we see a first-order phase transition. For a given behavioral information transmission probability, there is an optimal LTI capacity that maximizes the final adoption size. Finally we find that the above phenomena are not qualitatively affected by the heterogeneous degree distribution. Our suggested theoretical predictions agree with the simulation results.Xuzhen ZhuWei WangShimin CaiH. Eugene StanleyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Xuzhen Zhu
Wei Wang
Shimin Cai
H. Eugene Stanley
Dynamics of social contagions with local trend imitation
description Abstract Research on social contagion dynamics has not yet included a theoretical analysis of the ubiquitous local trend imitation (LTI) characteristic. We propose a social contagion model with a tent-like adoption probability to investigate the effect of this LTI characteristic on behavior spreading. We also propose a generalized edge-based compartmental theory to describe the proposed model. Through extensive numerical simulations and theoretical analyses, we find a crossover in the phase transition: when the LTI capacity is strong, the growth of the final adoption size exhibits a second-order phase transition. When the LTI capacity is weak, we see a first-order phase transition. For a given behavioral information transmission probability, there is an optimal LTI capacity that maximizes the final adoption size. Finally we find that the above phenomena are not qualitatively affected by the heterogeneous degree distribution. Our suggested theoretical predictions agree with the simulation results.
format article
author Xuzhen Zhu
Wei Wang
Shimin Cai
H. Eugene Stanley
author_facet Xuzhen Zhu
Wei Wang
Shimin Cai
H. Eugene Stanley
author_sort Xuzhen Zhu
title Dynamics of social contagions with local trend imitation
title_short Dynamics of social contagions with local trend imitation
title_full Dynamics of social contagions with local trend imitation
title_fullStr Dynamics of social contagions with local trend imitation
title_full_unstemmed Dynamics of social contagions with local trend imitation
title_sort dynamics of social contagions with local trend imitation
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/b4d0c173c5da4ca68672cb38ef5bbf67
work_keys_str_mv AT xuzhenzhu dynamicsofsocialcontagionswithlocaltrendimitation
AT weiwang dynamicsofsocialcontagionswithlocaltrendimitation
AT shimincai dynamicsofsocialcontagionswithlocaltrendimitation
AT heugenestanley dynamicsofsocialcontagionswithlocaltrendimitation
_version_ 1718395421901979648