Title

Social Network Generation And Friend Ranking Based On Mobile Phone Data

Abstract

Social networking websites have been increasingly popular in the recent years. The users create and maintain their social networks by themselves in these websites by establishing or removing the connections to friends and sites of interests. The smart phones not only create a high availability for social network applications, but also serve for all forms of digital communication such as voice or video calls, e-mails and texts, which are also the ways to form or maintain our social network. In this paper, we deal with the problem of automatically generating and organizing social networks by analyzing and assessing mobile phone usage and interaction data. We assign weights to the different types of interactions. The interactions among users are then evaluated based on these weight values for certain periods of time. We use these values to rank the friends of users by a sports ranking algorithm, which recognizes the changes in the collected data over time. © 2013 IEEE.

Publication Date

1-1-2013

Publication Title

IEEE International Conference on Communications

Number of Pages

1444-1448

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICC.2013.6654714

Socpus ID

84891350952 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84891350952

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