Cart (Loading....) | Create Account
Close category search window
 

Social Network Mining Based on Wikipedia

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

4 Author(s)
Fangfang Yang ; Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China ; Zhiming Xu ; Sheng Li ; Zhikai Xu

This paper proposes a method to build and analyze social networks of person entities on Wikipedia. Here each person entity is represented by a few attributes. Different estimation approaches of attribute similarity are used, on which we employ the Systematic Similarity Measure theory to compute the person entity similarity. On the basis of the similarity array of person entities, we build the social network for them. On Wikipedia data, we conduct some experiments on social network analysis, and the experimental results show our social network mining approaches are effective.

Published in:

Asian Language Processing (IALP), 2010 International Conference on

Date of Conference:

28-30 Dec. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.