<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>M. Karnstedt</AUTHOR>
		<AUTHOR>T. Hennessy</AUTHOR>
		<AUTHOR>J. Chan</AUTHOR>
		<AUTHOR>C. Hayes</AUTHOR>
	</AUTHORS>
	<YEAR>2010</YEAR>
	<TITLE>Churn in Social Networks: A Discussion Boards Case Study</TITLE>
	<SECONDARY_TITLE>IEEE International Conference on Social Computing (SocialCom2010)</SECONDARY_TITLE>
	<ABSTRACT>&lt;p&gt;Churn has been identified as an important issue in a wide range of industries. In social networks, churn represents a significant risk for the health and functioning of communities. However, the importance and actual meaning of churn in social networks is almost unexplored. This work provides a general view on these issues and discusses aspects that are especially relevant to discussion boards. We provide a broad literature review on &amp;ldquo;traditional&amp;rdquo; churn analysis and prediction and highlight the specialities of churn in social networks. We further present an empirical analysis of a churn definition particularly appropriate for discussion boards and propose future research directions for predicting churn in social networks, focusing on the importance of social roles, influence and influence diffusion.&lt;/p&gt;</ABSTRACT>
	<URL>http://www.deri.ie/fileadmin/documents/karn-socialcom2010.pdf</URL>
</RECORD>
</RECORDS></XML>