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dc.contributor.authorPostigo Boix, Marcos
dc.contributor.authorMelus Moreno, José Luis
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.date.accessioned2018-01-29T16:17:35Z
dc.date.available2020-01-09T01:26:29Z
dc.date.issued2018-01-09
dc.identifier.citationPostigo-Boix, M., Melus, J. A social model based on customers’ profiles for analyzing the churning process in the mobile market of data plans. "Physica A: statistical mechanics and its applications", 9 Gener 2018, vol. 496. p. 571-592.
dc.identifier.issn0378-4371
dc.identifier.urihttp://hdl.handle.net/2117/113347
dc.description.abstractMobile Network Operators (MNOs) present wireless services of the same kind in identical zones, clients select the service taking into account any element they consider relevant. Churning hits on the design of the network and the method to assign prices by MNOs, and of course their earnings. Therefore, MNOs try to reduce churn detecting potential churners before they leave the service. Our approach to churn prediction considers each customer individually. Previous research shows that members of the social circle of a subscriber may influence churn. Thus, many scenarios that describe social relations, and in which churning processes could be expected, set an emerging challenge with practical implications. This paper uses the Agent-Based Modelling (ABM) technique to model customers. The model’s parameters include demographic and psychographic features as well as usage profiles according to their social behavior considering their customers’ profiles. Our model modifies and extends an existing real social network generator algorithm that considers customer’s profiles and homophily considerations to create connections. We show that using our approach, groups of customers with greater tendency to churn due to the influence of their social networks can be identified better.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject.lcshSocial networks
dc.subject.otherSocial network
dc.subject.otherHomophily
dc.subject.otherCustomer’s profile
dc.subject.otherChurn customer model
dc.subject.otherAgent-based model
dc.titleA social model based on customers’ profiles for analyzing the churning process in the mobile market of data plans
dc.typeArticle
dc.subject.lemacXarxes socials
dc.contributor.groupUniversitat Politècnica de Catalunya. MAPS - Management, Pricing and Services in Next Generation Networks
dc.identifier.doi10.1016/j.physa.2017.12.121
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0378437117313729
dc.rights.accessOpen Access
drac.iddocument21878499
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/TEC2015-71329-C2-2-R
upcommons.citation.authorPostigo-Boix, M.; Melus, J.
upcommons.citation.publishedtrue
upcommons.citation.publicationNamePhysica A: statistical mechanics and its applications


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain