By Topic

An empirical study of behavior unconformity in web-based and non-web-based social networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Jia-Yi Li ; Sch. of Stat., Central Univ. of Finance & Econ., Beijing, China ; Zhong-Yuan Zhang ; Ruo-Yang Zhang ; Xiao-Wei Mo
more authors

Social Networking Sites have recently been popular with researchers due to its wide coverage and heavy usage patterns. Much work has been done to investigate the interactions between web-based and non-web-based social networks, but not much attention is paid on the behavior unconformity between them. By applying nonnegative matrix factorization algorithm and visualization method to data collected from online and real-life social networks, we discover the link-patterns of web-based and non-web-based social networks among a certain group of students. By comparing the networking patterns, we prove the existence of behavior unconformity and show how behavior unconformity might strengthen the ties between the individuals.

Published in:

Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on

Date of Conference:

29-31 May 2012