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dc.contributor.authorZhu, Xuzhenen_US
dc.contributor.authorWang, Weien_US
dc.contributor.authorCai, Shiminen_US
dc.contributor.authorStanley, H. Eugeneen_US
dc.date.accessioned2020-02-27T20:35:09Z
dc.date.available2020-02-27T20:35:09Z
dc.date.issued2018-05-09
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000431737300021&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e74115fe3da270499c3d65c9b17d654
dc.identifier.citationXuzhen Zhu, Wei Wang, Shimin Cai, H Eugene Stanley. 2018. "Dynamics of social contagions with local trend imitation." Scientific Reports, Volume 8. https://doi.org/10.1038/s41598-018-25006-6
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/2144/39577
dc.description.abstractResearch 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 efect 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 fnd a crossover in the phase transition: when the LTI capacity is strong, the growth of the fnal adoption size exhibits a second-order phase transition. When the LTI capacity is weak, we see a frst-order phase transition. For a given behavioral information transmission probability, there is an optimal LTI capacity that maximizes the fnal adoption size. Finally we fnd that the above phenomena are not qualitatively afected by the heterogeneous degree distribution. Our suggested theoretical predictions agree with the simulation results.en_US
dc.description.sponsorshipThis work was supported by the National Natural Science Foundation of China (Nos. 61602048,61673096,61673085) and the Fundamental Research Funds for the Central Universities (Nos. NST20170206,20822041B4216, ZYGX2016J058). (61602048 - National Natural Science Foundation of China; 61673096 - National Natural Science Foundation of China; 61673085 - National Natural Science Foundation of China; NST20170206 - Fundamental Research Funds for the Central Universities; 20822041B4216 - Fundamental Research Funds for the Central Universities; ZYGX2016J058 - Fundamental Research Funds for the Central Universities)en_US
dc.format.extent10 pagesen_US
dc.languageEnglish
dc.publisherNATURE PUBLISHING GROUPen_US
dc.relation.ispartofSCIENTIFIC REPORTS
dc.rights© The Author(s) 2018. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectScience & technologyen_US
dc.subjectMultidisciplinary sciencesen_US
dc.subjectNetworksen_US
dc.subjectNetwork scienceen_US
dc.subjectSocial contagionen_US
dc.subjectBiochemistry and cell biologyen_US
dc.titleDynamics of social contagions with local trend imitationen_US
dc.typeArticleen_US
dc.description.versionPublished versionen_US
dc.identifier.doi10.1038/s41598-018-25006-6
pubs.elements-sourceweb-of-scienceen_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Physicsen_US
pubs.publication-statusPublisheden_US
dc.identifier.mycv388677


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© The Author(s) 2018. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's license is described as © The Author(s) 2018. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.