Name
Abstract | ||
|---|---|---|
In this paper, we introduce homophily to a game-theoretic model of collective action (e.g., protests) on Facebook and study the effect of homophily in individuals' willingness to participate in collective action, i.e., their thresholds, on the emergence and spread of collective action. We use a real Facebook network and conduct computational experiments to study contagion dynamics (the size and the speed of diffusion) with respect to the level of homophily.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.5555/3382225.3382312 | ASONAM '18: International Conference on Advances in Social Networks Analysis and Mining
Barcelona
Spain
August, 2018 |
Keywords | Field | DocType |
collective action,Facebook network,game-theoretic model,homophily,contagion dynamics | Social psychology,Collective action,Computer science,Homophily,Common knowledge,Artificial intelligence,Machine learning | Conference |
ISSN | ISBN | Citations |
2473-9928 | 978-1-5386-6051-5 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gizem Korkmaz | 1 | 98 | 11.10 |
| Chris J. Kuhlman | 2 | 216 | 25.03 |
| Joshua Goldstein | 3 | 0 | 0.68 |
| Fernando Vega-Redondo | 4 | 128 | 24.01 |