Wagner, Claudia; Rowe, Matthew; Strohmaier, Markus and Alani, Harith
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Online community managers work towards building and managing communities around a given brand or topic. A risk imposed on such managers is that their community may die out and its utility diminish to users. Understanding what drives attention to content and the dynamics of discussions in a given community informs the community manager and/or host with the factors that are associated with attention. In this paper we gain insights into the idiosyncrasies that individual community forums exhibit in their attention patterns and how the factors that impact activity differ. We glean such insights by using logistic regression models for identifying seed posts and explore the effectiveness of a range of features. Our ﬁndings show that the discussion behaviour of different communities is clearly impacted by different factors.
|Item Type:||Conference Item|
|Copyright Holders:||2012, Association for the Advancement of Artificial Intelligence|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Kay Dave|
|Date Deposited:||16 Apr 2012 09:16|
|Last Modified:||02 Aug 2016 14:51|
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