Who were you talking to - Mining interpersonal relationships from cellphone network data

Mo Yu, Wenjun Si, Guojie Song, Zhenhui Li, John Yen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

People play different roles in various social networks. Even in a single network, people may interact with others based on different roles, and there are various relationships among them. However, current research usually treats all relationships homogeneously (i.e. friendship). In this paper, we try to identify different types of relationship (family, colleague, and social) within social networks. By analyzing a large-scale cellphone network, we gain insights about human mobility patterns. We design three metrics to capture colocation behaviors for cellphone users, taking spatial-temporal factors into consideration. These metrics show that users with different relationships demonstrate significantly different co-locating patterns. With these metrics as features, we adopt supervised approach to classify cellphone user pairs into different relationship categories. Comparing to using network and communication features, co-location metrics demonstrate better performance to fulfill the task of relationship identification.

Original languageEnglish (US)
Title of host publicationASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
EditorsXindong Wu, Xindong Wu, Martin Ester, Guandong Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages485-490
Number of pages6
ISBN (Electronic)9781479958771
DOIs
StatePublished - Oct 10 2014
Event2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014 - Beijing, China
Duration: Aug 17 2014Aug 20 2014

Publication series

NameASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Other

Other2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014
Country/TerritoryChina
CityBeijing
Period8/17/148/20/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

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