Computer Science – Social and Information Networks
Scientific paper
2011-11-07
Computer Science
Social and Information Networks
12 pages, 9 figures
Scientific paper
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, that cannot occur in single-stage contagion models. We find, for example, that cascades --- and hence collective action --- can be driven not only by higher-stage influencers but also by lower-stage influencers.
Gleeson James P.
Melnik Sergey
Porter Mason A.
Ward Jonathan A.
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