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A social model based on customers’ profiles for analyzing the churning process in the mobile market of data plans

Author
Postigo-Boix, M.; Melus, J.
Type of activity
Journal article
Journal
Physica A: statistical mechanics and its applications
Date of publication
2018-01-09
Volume
496
First page
571
Last page
592
DOI
https://doi.org/10.1016/j.physa.2017.12.121 Open in new window
Project funding
Dynamic provisioning of connectivity in high density 5G wireless scenarios
Repository
http://hdl.handle.net/2117/113347 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0378437117313729 Open in new window
Abstract
Mobile 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 t...
Citation
Postigo-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.
Keywords
Agent-based model, Churn customer model, Customer’s profile, Homophily, Social network
Group of research
MAPS - Management, Pricing and Services in Next Generation Networks

Participants