The Importance of Outlier Relationships in Mobile Call Graphs

Derek Doran, Veena Mendiratta, Chitra Phadke, Huseyin Uzunalioglu

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

Abstract

Mobile phones have become one of the primary tools for individuals to communicate, to access data networks, and to share information. Service providers collect data about the calls placed on their network, and these calls exhibit a large degree of variability. Providers model the structure of the relationships between network subscribers as a mobile call graph. In this paper, we apply a new measure to quantify by how much a relationship between users in a mobile call graph deviate from an average relationship. This measure is used to explore the connection between calling behaviors and the complex structure mobile call graphs take. We study a large call graph from a major service provider and learn that distant, outlier relationships play the largest role in maintaining connectivity between cellular users, and that calling features of users more strongly influence tie variation compared to social features. We also observe a rapid decay of its massively connected component as outlier ties are removed.

Original languageAmerican English
Title of host publication2012 11th International Conference on Machine Learning and Applications
PublisherIEEE
Pages24-29
Number of pages6
ISBN (Electronic)978-0-7695-4913-2
ISBN (Print)978-1-4673-4651-1
DOIs
StatePublished - Jan 10 2012
Event11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012 - Boca Raton, FL, United States
Duration: Dec 12 2012Dec 15 2012

Conference

Conference11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012
Country/TerritoryUnited States
CityBoca Raton, FL
Period12/12/1212/15/12

ASJC Scopus Subject Areas

  • Human-Computer Interaction
  • Education

Keywords

  • Call graph
  • cellular network
  • mobile call graph
  • social network
  • tie strength
  • tie variation

Disciplines

  • Computer Sciences
  • Engineering

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