Social ties and their relevance to churn in mobile telecom networks

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dc.contributor.authorDasgupta, Koustuv
dc.contributor.authorSingh, Rahul
dc.contributor.authorViswanathan, Balaji
dc.contributor.authorChakraborty, Dipanjan
dc.contributor.authorJoshi, Anupam
dc.contributor.authorMukherjea, Sougata
dc.contributor.authorNanavati, Amit Anil
dc.date.accessioned2018-11-27T19:49:51Z
dc.date.available2018-11-27T19:49:51Z
dc.date.issued2008-03-25
dc.descriptionProceedings of the 11th international conference on Extending database technology: Advances in database technologyen_US
dc.description.abstractSocial Network Analysis has emerged as a key paradigm in modern sociology, technology, and information sciences. The paradigm stems from the view that the attributes of an individual in a network are less important than their ties (relationships) with other individuals in the network. Exploring the nature and strength of these ties can help understand the structure and dynamics of social networks and explain real-world phenomena, ranging from organizational efficiency to the spread of information and disease. In this paper, we examine the communication patterns of millions of mobile phone users, allowing us to study the underlying social network in a large-scale communication network. Our primary goal is to address the role of social ties in the formation and growth of groups, or communities, in a mobile network. In particular, we study the 'evolution of churners in an operator's network spanning over a period of four months. Our analysis explores the propensity of a subscriber to churn out of a service provider's network depending on the number of ties (friends) that have already churned. Based on our findings, we propose a spreading activation-based technique that predicts potential churners by examining the current set of churners and their underlying social network. The efficiency of the prediction is expressed as a lift curve, which indicates the fraction of all churners that can be caught when a certain fraction of subscribers were contacted.en_US
dc.description.urihttps://dl.acm.org/citation.cfm?id=1353424en_US
dc.format.extent10 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M24F1MN8K
dc.identifier.citationKoustuv Dasgupta, Rahu Singh, Balaji Vishwanathan, Dipanjan Chakraborty, Anupam Joshi, Sougata Mukherjea, and Amit Anil Nanavati, Social ties and their relevance to churn in mobile telecom networks, Proceedings of the 11th international conference on Extending database technology: Advances in database technology, 2008, DOI : 10.1145/1353343.1353424en_US
dc.identifier.uri10.1145/1353343.1353424
dc.identifier.urihttp://hdl.handle.net/11603/12105
dc.language.isoen_USen_US
dc.publisherACM
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectSocial Tiesen_US
dc.subjectMobile Telecom Networksen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleSocial ties and their relevance to churn in mobile telecom networksen_US
dc.typeTexten_US

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