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.

URL: http://www.websci11.org/fileadmin/websci/Papers/18...

Abstract

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]

Viewing alternatives

Item Actions

Export

You can export this page using these formats

About

• Item ORO ID
• 28846
• Item Type
• Conference or Workshop Item
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  Not Set	Not Set	ROBUST [EU 257859]
  Not Set	Not Set	WeGov [EU 248512]
  Not Set	Not Set	CLIQUE Strategic Research Cluster [SFI 08/SRC/I1407]
  Not Set	Not Set	LION-2 [SFI/08/CE/I1380]

• Keywords
• communications applications-bulletin boards; social and behavioral sciences
• Academic Unit or 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)
• Copyright Holders
• © 2011 ACM
• Related URLs
• • http://www.websci11.org/program/
• Depositing User
• Kay Dave