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Two-Layered Structure of Social Network Revealed by Data Analysis of Telecommunciation Services

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3 Author(s)
Hideyuki Koto ; Commun. Network Planning Lab., KDDI R&D Labs., Inc., Fujimino, Japan ; Hajime Nakamura ; Masaki Aida

This paper reveals the statistical features of social network structures by analyzing various data of different telecommunications services. Specifically, traffic logs of voice calls and emails are analyzed and the results show a distinguishing two-layered structure of social network where different degree distributions are observed. In addition, the email logs are classified according to the number of destination addresses to evaluate the cause for the difference. We find that the features for voice calls and emails with single address are similar, where as those for emails with multiple addresses shows a different character. Furthermore, data and results of Internet applications of cellular phone, SNS, and computer viruses are introduced to illustrate the relationships between each result. Various data and results are complementary used to verify the features and relationships expected from analysis and traffic logs.

Published in:

Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on

Date of Conference:

9-11 Oct. 2011