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Social contagion with negative feedbacks

  • Zhongyuan Ruan*
  • , Lina Zhang
  • , Xincheng Shu
  • , Qi Xuan*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Real social contagion processes usually accompany feedback behaviors, such as people may give comments after they adopt a new product or watch a new movie, etc. In this paper, we extend the traditional threshold model that has been widely adopted for studying social contagion phenomena by incorporating the negative-feedback mechanism. In our model, nodes may give negative feedbacks with a certain probability after they become adopters, and correspondingly, the threshold of their susceptible neighbors will increase. By extensive simulations and mean-field analysis, we find that, if nodes give negative feedbacks with high possibility immediately after they become adopters, the contagion process could be effectively suppressed with only slight disturbances to the system, i.e., only a small fraction of nodes give negative feedbacks finally.
Original languageEnglish
Article number128304
JournalPhysica A: Statistical Mechanics and its Applications
Volume608
Issue numberPart 1
Online published10 Nov 2022
DOIs
Publication statusPublished - 15 Dec 2022

Research Keywords

  • Complex networks
  • Social contagion
  • Threshold model

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