Publication Type

Conference Proceeding Article

Publication Date

12-2006

Abstract

Using open source Web editing software (e.g., wiki), online community users can now easily edit, review and publish articles collaboratively. While much useful knowledge can be derived from these articles, content users and critics are often concerned about their qualities. In this paper, we develop two models, namely basic model and peer review model, for measuring the qualities of these articles and the authorities of their contributors. We represent collaboratively edited articles and their contributors in a bipartite graph. While the basic model measures an article's quality using both the authorities of contributors and the amount of contribution from each contributor, the peer review model extends the former by considering the review aspect of article content. We present results of experiments conducted on some Wikipedia pages and their contributors. Our result show that the two models can effectively determine the articles' qualities and contributors' authorities using the collaborative nature of online communities.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

IEEE/WIC/ACM International Conference on Web Intelligence: WI 2006: 18-22 December 2006, Hong Kong, China: Proceedings

First Page

81

Last Page

87

ISBN

9780769527475

Identifier

10.1109/WI.2006.115

Publisher

IEEE Computer Society

City or Country

Los Alamitos, CA

Additional URL

http://doi.ieeecomputersociety.org/10.1109/WI.2006.115

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