By Topic

Social Network Analysis of University Online Forum

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

1 Author(s)
Huiqing Niu ; Coll. of Economic & Manage., North Univ. of China, Taiyuan, China

To describe the social network in online forum (BBS) of university, social network analysis and data mining method was used to investigate the network relationship of community under the help of UCINET software and ID3 algorithm. Characteristic of community network, formation of opinion leader's position and the relationship between initiative and other attributes of community members were also explored. On this basis, we proposed some advice in order to solve key problems of the community, for example how to get more better communication in the university online forum, how to make the students are more positive, how to make students learn more knowledge here.

Published in:

Computational Aspects of Social Networks (CASoN), 2010 International Conference on

Date of Conference:

26-28 Sept. 2010