Users in volatile communities: Studying active participation and community evolution

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Abstract

Active participation of a person in a community is a powerful indicator of the person's interests, preferences, beliefs and (often) social and demographic context. Community membership is part of a user's model and can contribute to tasks like personalized services, assistance and recommendations. However, a community member can be active or inactive. To what extend is a community still representative of the interests of an inactive participant? To gain insights to this question, we observe a community as an evolving social structure and study the effects of member fluctuation, We define a community as a high-level temporal structure composed of "community instances" that are defined conventionally through observable active participation and are captured at distinct timepoints. Thus, we capture community volatility, as evolution and discontinuation. This delivers us clues about the role of the community for its members, both for active and inactive ones. We have applied our model on a community exhibiting large fluctuation of members and acquired insights on the community-member interplay. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Falkowski, T., & Spiliopoulou, M. (2007). Users in volatile communities: Studying active participation and community evolution. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4511 LNCS, pp. 47–56). Springer Verlag. https://doi.org/10.1007/978-3-540-73078-1_8

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