The Role of Positive Feedbacks in the Watts Model

Man Yang, Lina Zhang, Xincheng Shu, Zhongyuan Ruan*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Watts model is a classic paradigm for studying social contagion phenomena. In prior research, the decision threshold of an individual is independent of its neighbors’ states. In this paper, we extend the Watts model by introducing the positive-feedback mechanism. In our model, each adopter may give positive feedbacks with a certain probability. Correspondingly, the threshold of its susceptible neighbors will decrease by a small number. We perform extensive numerical simulations on synthetic networks and an empirical social network, and demonstrate that positive feedbacks could significantly facilitate the contagion process. Furthermore, we find that network heterogeneity plays a complex role in the cascading dynamics.
Original languageEnglish
Title of host publicationBig Data and Social Computing
Subtitle of host publication7th China National Conference, BDSC 2022, Revised Selected Papers
EditorsXiaofeng Meng, Qi Xuan, Yang Yang, Yang Yue, Zi-Ke Zhang
PublisherSpringer Singapore
Pages332-340
ISBN (Electronic)978-981-19-7532-5
ISBN (Print)978-981-19-7531-8
DOIs
Publication statusPublished - 2022
Event7th China National Conference on Big Data and Social Computing, BDSC 2022 - Hangzhou, China
Duration: 11 Aug 202213 Aug 2022

Publication series

NameCommunications in Computer and Information Science
Volume1640 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference7th China National Conference on Big Data and Social Computing, BDSC 2022
PlaceChina
CityHangzhou
Period11/08/2213/08/22

Research Keywords

  • Complex networks
  • Feedback mechanism
  • Information cascade
  • Social contagion
  • Threshold model

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