University of Limerick
Browse
Gleeson_2013_multi.pdf (1.03 MB)

Multi-stage complex contagions

Download (1.03 MB)
journal contribution
posted on 2022-10-03, 11:10 authored by Sergey Melnik, Jonathan Ward, James GleesonJames Gleeson, Mason A. Porter
The spread of ideas across a social network can be studied using complex contagion models, in which agents are activated by contact with multiple activated neighbors. The investigation of complex contagions can provide crucial insights into social influence and behavior-adoption cascades on networks. In this paper, we introduce a model of a multi-stage complex contagion on networks. Agents at different stages-which could, for example, represent differing levels of support for a social movement or differing levels of commitment to a certain product or idea-exert different amounts of influence on their neighbors. We demonstrate that the presence of even one additional stage introduces novel dynamical behavior, including interplay between multiple cascades, which cannot occur in single-stage contagion models. We find that cascades-and hence collective action-can be driven not only by high-stage influencers but also by low-stage influencers. (C) 2013 American Institute of Physics. [http://dx.doi.org/10.1063/1.4790836]

History

Publication

Chaos;23, 013124

Publisher

American Institute of Physics

Note

peer-reviewed

Language

English

Also affiliated with

  • MACSI - Mathematics Application Consortium for Science & Industry

Department or School

  • Mathematics & Statistics

Usage metrics

    University of Limerick

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC