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Visualization of trends in subscriber attributes of communities on mobile telecommunications networks
Author(s)
Date Issued
2014-12
Date Available
2017-02-20T13:48:25Z
Abstract
Churn, the decision for a subscriber to leave a provider, is frequently of interest in the telecommunications industry. Previous research provides evidence that social influence can be a factor in mobile telecommunications churn. In our work, presented at ASONAM, we presented a system, called ChurnVis, to visualize the evolution of mobile telecommunications churn and subscriber actions over time. First, we infer a social network from call detail records. Then, we compute components based on an overlay of this social network and churn activity. We compute summaries of the attributes associated with the subscribers and finally, we visualize the components in a privacy preserving way. The system is able to present summaries of thousands of churn components in graphs of hundreds of millions of edges. One of the drawbacks of the original approach was that churn components were sometimes very large, leading to over-aggregation in the summary data. In this extension of the ASONAM paper, we adapt the ChurnVis approach to operate on the output of a community finding algorithm and present new results based on this adaptation.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Springer
Journal
Social Network Analysis and Mining
Volume
4
Issue
205
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
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insight_publication.pdf
Size
595.53 KB
Format
Adobe PDF
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3656517a5bea26bde441652de134955a
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