All Who Wander: On the Prevalence and Characteristics of Multi-community Engagement
Chenhao Tan, Lillian Lee

TL;DR
This paper investigates multi-community engagement on Reddit, analyzing user behavior sequences, language, and feedback, revealing continuous exploration, early departure indicators, and implications for community design.
Contribution
It introduces a comprehensive analysis of multi-community user behavior, highlighting patterns of exploration, departure signals, and predictive features for future activity.
Findings
Users continually explore new communities over time.
Early behavior patterns can predict eventual user departure.
Features from community engagement improve activity prediction.
Abstract
Although analyzing user behavior within individual communities is an active and rich research domain, people usually interact with multiple communities both on- and off-line. How do users act in such multi-community environments? Although there are a host of intriguing aspects to this question, it has received much less attention in the research community in comparison to the intra-community case. In this paper, we examine three aspects of multi-community engagement: the sequence of communities that users post to, the language that users employ in those communities, and the feedback that users receive, using longitudinal posting behavior on Reddit as our main data source, and DBLP for auxiliary experiments. We also demonstrate the effectiveness of features drawn from these aspects in predicting users' future level of activity. One might expect that a user's trajectory mimics the…
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Network Analysis Techniques · Expert finding and Q&A systems
