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The Effect of User Features on Churn in Social Networks

Karnstedt, Marcel; Rowe, Matthew; Chan, Jeff; Alani, Harith and Hayes, Conor (2011). The Effect of User Features on Churn in Social Networks. In: ACM Web Science Conference 2011 (WebSci2011), 14-17 Jun 2011, Koblenz, Germany.

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Social sites and services rely on the continuing activity, good will and behaviour of the contributors to remain viable. There has been little empirical study of the mechanisms by which social sites maintain a viable user base. Such studies would provide a scientific understanding of the patterns that lead to user churn (i.e. users leaving the community) and the community dynamics that are associated with reduction of community members { primary threats to the sustainability of any service. In this paper, we explore the relation between a user's value within a community - constituted from various user features - and the probability of a user churning. [brace not closed]

Item Type: Conference or Workshop Item
Copyright Holders: 2011 ACM
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetROBUST [EU 257859]
Not SetNot SetWeGov [EU 248512]
Not SetNot SetCLIQUE Strategic Research Cluster [SFI 08/SRC/I1407]
Not SetNot SetLION-2 [SFI/08/CE/I1380]
Keywords: communications applications-bulletin boards; social and behavioral sciences
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 28846
Depositing User: Kay Dave
Date Deposited: 31 May 2011 12:48
Last Modified: 10 Dec 2018 21:58
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