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Visualization of Trends in Subscriber Attributes of Communities on Mobile Telecommunications Networks


Daniel Arachambault, Neil Hurley

Publication Type: 
Refereed Original Article
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 ofmillions of edges. One of the drawbacks of the original approachwas that churn components were sometimes very large, leading to overaggregation 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.
Digital Object Identifer (DOI): 
Publication Status: 
Date Accepted for Publication: 
Friday, 23 May, 2014
Publication Date: 
Social Network Analysis and Mining
National University of Ireland, Dublin (UCD)
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