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CommunityData:Exposure and Participation Processes
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== Summary == There are a number of social computing theories that focus on why people do (or don't) join online groups. For the most part, these theories focus on individuals deciding whether to join an individual group, and are typically validated at the individual level. On the other hand, there is much interest in understanding the dynamics of online communities and populations of communities. These communities have extremely skewed levels of participation, with a few communities garnering the vast majority of the attention and contributions. New, ecological approaches to understanding these dynamics focus on competition and mutualism between groups. While they have been partially successful in explaining group outcomes these approaches rarely consider how dynamics between groups emerge. We suggest that competition, mutualism, and eventual online community outcomes are the result of how individuals are exposed to communities and how they decide whether to participate. We build a series of agent-based simulations that act as a bridge between these levels of analysis and let us explore the implications of different theories of how people are exposed to and join groups.
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