Sprint Communications Comapny L.p.

Mukund Seshadri

Sridhar Machiraju

Jean C Bolot

Christos Faloutsos

James Christopher Schneider

Ashwin Sridharan

Bodicherla Aditya Prakash

What is disclosed is a method of operating a communication network, where the communication network comprises a set of users. The method includes obtaining usage activity for each of the users of the set and processing the usage activity to determine connectivity information between individual ones of the users of the set. The method also includes processing the connectivity information to determine users of the set with similar connectivity, and processing the users of the set with similar connectivity to identify a community of users within the users of the set with similar connectivity. The method also includes monitoring at least one of the users in the community to determine if action is needed for at least another one of the users in the community.

Determining user communities in communication networks

An embodiment of the current invention is directed to determining that a wireless-service subscriber using a given mobile computing device is likely to transition to another provider ('to churn'). A list of mobile computing devices that have communicated with the given mobile computing device is determined. A relationship-strength value for each mobile computing device in the list is determined. A risk value of the given mobile computing device is determined based on the relationship-strength values of each of the mobile computing devices in the list that have churned. If the risk value is not greater than a risk value threshold, the given mobile computing device is not likely to churn. If the risk value is greater than the risk value threshold, the given mobile computing device is likely to churn.

Churn prediction using relationship strength quantification

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Oakland, CA, United States of America

Mukund Seshadri