Author:
Korfiatis Nikolaos Th.,Poulos Marios,Bokos George
Abstract
PurposeThe purpose of this paper is to present an approach to evaluating contributions in collaborative authoring environments, and in particular, Wikis using social network measures.Design/methodology/approachA social network model for Wikipedia has been constructed, and metrics of importance such as centrality have been defined. Data has been gathered from articles belonging to the same topic using a web crawler, in order to evaluate the outcome of the social network measures in the articles.FindingsFinds that the question of the reliability regarding Wikipedia content is a challenging one and as Wikipedia grows, the problem becomes more demanding, especially for topics with controversial views such as politics or history.Practical implicationsIt is believed that the approach presented here could be used to improve the authoritativeness of content found in Wikipedia and similar sources.Originality/valueThis work tries to develop a network approach to the evaluation of Wiki contributions, and approaches the problem of quality Wikipedia content from a social network point of view.
Subject
Library and Information Sciences,Computer Science Applications,Information Systems
Reference24 articles.
1. Andrew, L., Jakob, V., Cathy, M., Samuel, K. and Reinhold, H. (Eds) (2005), Proceedings of Wikimania 2005 – The First International Wikimedia Conference.
2. Berners‐Lee, T. and Fischetti, M. (1999), Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web by its Inventor, Harper, San Francisco, CA.
3. Berners‐Lee, T., Masinter, L. and McCahill, M. (1994), Uniform Resource Locators (URL), RFC 1738.
4. Borgatti, S.P. and Foster, P.C. (2003), “The network paradigm in organizational research: a review and typology”, Journal of Management, Vol. 29 No. 6, pp. 991‐1013.
5. Brin, S. and Page, L. (1998), “The anatomy of a large‐scale hypertextual web search engine”, Proceedings of the Seventh International Conference on World Wide Web, available at: www‐db.stanford.edu/%7Ebackrub/google.html, pp. 107‐17.
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