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<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>0</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>M. Karnstedt</AUTHOR>
		<AUTHOR>T. Hennessy</AUTHOR>
		<AUTHOR>J. Chan</AUTHOR>
		<AUTHOR>P. Basuchowdhuri</AUTHOR>
		<AUTHOR>C. Hayes</AUTHOR>
		<AUTHOR>Thorsten Strufe*</AUTHOR>
	</AUTHORS>
	<YEAR>2010</YEAR>
	<TITLE>Churn in Social Networks</TITLE>
	<SECONDARY_TITLE>Handbook of Social Network Technologies and Applications (Springer)</SECONDARY_TITLE>
	<ABSTRACT>&lt;p&gt;In the past, churn has been identified as an issue across most industry  sectors. In its most general sense it refers to the             rate of loss of customers from a company&amp;rsquo;s customer base.  There is a simple reason for the attention churn attracts: churning             customers mean a loss of revenue. Emerging from business  spaces like telecommunications (telcom) and broadcast providers,             where churn is a major issue, it is also regarded as a  crucial problem in many other businesses, such as online games creators,             but also online social networks and discussion sites.  Companies aim at identifying the risk of churn in its early stages,             as it is usually much cheaper to retain a customer than to  try to win him or her back. If this risk can be accurately predicted,             marketing departments can target customers efficiently with  tailored incentives to prevent them from leaving.&lt;/p&gt;</ABSTRACT>
	<NOTES><p>* Non-Clique Members</p></NOTES>
	<URL>http://www.springerlink.com/content/umr3386464w3v525/</URL>
</RECORD>
</RECORDS></XML>