Literature DB >> 23556961

Multi-stage complex contagions.

Sergey Melnik1, Jonathan A Ward, James P Gleeson, Mason A Porter.   

Abstract

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.

Mesh:

Year:  2013        PMID: 23556961     DOI: 10.1063/1.4790836

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  18 in total

1.  Dynamics on modular networks with heterogeneous correlations.

Authors:  Sergey Melnik; Mason A Porter; Peter J Mucha; James P Gleeson
Journal:  Chaos       Date:  2014-06       Impact factor: 3.642

2.  Inhibiting diffusion of complex contagions in social networks: theoretical and experimental results.

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-12-30

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Journal:  Phys Rep       Date:  2019-07-29       Impact factor: 25.600

5.  Topological data analysis of contagion maps for examining spreading processes on networks.

Authors:  Dane Taylor; Florian Klimm; Heather A Harrington; Miroslav Kramár; Konstantin Mischaikow; Mason A Porter; Peter J Mucha
Journal:  Nat Commun       Date:  2015-07-21       Impact factor: 14.919

6.  Complex social contagion makes networks more vulnerable to disease outbreaks.

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7.  GDSCalc: A Web-Based Application for Evaluating Discrete Graph Dynamical Systems.

Authors:  Sherif H Elmeligy Abdelhamid; Chris J Kuhlman; Madhav V Marathe; Henning S Mortveit; S S Ravi
Journal:  PLoS One       Date:  2015-08-11       Impact factor: 3.240

8.  How Robust Is Your Project? From Local Failures to Global Catastrophes: A Complex Networks Approach to Project Systemic Risk.

Authors:  Christos Ellinas; Neil Allan; Christopher Durugbo; Anders Johansson
Journal:  PLoS One       Date:  2015-11-25       Impact factor: 3.240

9.  Measuring and modeling behavioral decision dynamics in collective evacuation.

Authors:  Jean M Carlson; David L Alderson; Sean P Stromberg; Danielle S Bassett; Emily M Craparo; Francisco Guiterrez-Villarreal; Thomas Otani
Journal:  PLoS One       Date:  2014-02-10       Impact factor: 3.240

10.  Contagion on complex networks with persuasion.

Authors:  Wei-Min Huang; Li-Jie Zhang; Xin-Jian Xu; Xinchu Fu
Journal:  Sci Rep       Date:  2016-03-31       Impact factor: 4.379

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