A method for measuring co-authorship relationships in MediaWiki

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A method for measuring co-authorship relationships in MediaWiki
Authors: Libby Veng-Sam Tang, Robert P. Biuk-Aghai, Simon Fong [edit item]
Citation: Proceedings of the 4th International Symposium on Wikis (WikiSym '08)  : . 2008 September 8-10. Porto, Portugal. ACM.
Publication type: Conference paper
Peer-reviewed: Yes
Database(s):
DOI: 10.1145/1822258.1822280.
Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: No
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A method for measuring co-authorship relationships in MediaWiki is a publication by Libby Veng-Sam Tang, Robert P. Biuk-Aghai, Simon Fong.


[edit] Abstract

Collaborative writing through wikis has become increasingly popular in recent years. When users contribute to a wiki article they implicitly establish a co-authorship relationship. Discovering these relationships can be of value, for example in finding experts on a given topic. However, it is not trivial to determine the main co-authors for a given author among the potentially thousands who have contributed to a given author's edit history. We have developed a method and algorithm for calculating a co-authorship degree for a given pair of authors. We have implemented this method as an extension for the MediaWiki system and demonstrate its performance which is satisfactory in the majority of cases. This paper also presents a method of determining an expertise group for a chosen topic.

[edit] Research questions

Research details

Topics: Missing topics [edit item]
Domains: Missing domains [edit item]
Theory type: Missing theory_type [edit item]
Wikipedia coverage: [edit item]
Theories: [edit item]
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Unit of analysis: Missing unit_of_analysis [edit item]
Wikipedia data extraction: Missing wikipedia_data_extraction [edit item]
Wikipedia page type: Missing wikipedia_page_type [edit item]
Wikipedia language: Missing wikipedia_language [edit item]

[edit] Conclusion

[edit] Comments

[edit] References

[1] Biuk-Aghai, R. P. 2006. Visualizing Co-Authorship Networks in Online Wikipedia. Communications and Information Technologies, 2006. ISCIT '06 (Bangkok, Thailand, September 2006), 737--742.

[2] Brandes, U. and Lerner, J. 2007. Revision and co-revision in Wikipedia. Proceedings of the International Workshop on Bridging the Gap Between Semantic Web and Web 2.0 at the 4th European Semantic Web Conference (ESWC'07) (Innsbruck, Austria), June 7, 2007, 85--96.

[3] Chaomei Chen , Ray J. Paul, Visualizing a Knowledge Domain's Intellectual Structure, Computer, v.34 n.3, p.65-71, March 2001 [doi>10.1109/2.910895]

[4] Anna Goldenberg , Andrew W. Moore, Bayes net graphs to understand co-authorship networks?, Proceedings of the 3rd international workshop on Link discovery, p.1-8, August 21-25, 2005, Chicago, Illinois [doi>10.1145/1134271.1134272]

[5] Hart, L. 2000. Co-authorship in the academic library literature: A survey of attitudes and behaviors. The Journal of Academic Librarianship, 26(5):339--345, September 2000.

[6] Hart, L. 2007. Collaboration and Article Quality in the Literature of Academic Librarianship. The Journal of Academic Librarianship, 33(2):190--195, March 2007.

[7] Tze-Haw Huang , Mao Lin Huang, Analysis and Visualization of Co-authorship Networks for Understanding Academic Collaboration and Knowledge Domain of Individual Researchers, Proceedings of the International Conference on Computer Graphics, Imaging and Visualisation, p.18-23, July 26-28, 2006 [doi>10.1109/CGIV.2006.20]

[8] Jdidia, M. B., Robardet, C., Fleury, E., Communities detection and analysis of their dynamics in collaborative networks, 2nd International Conference on Digital Information Management, 2007. ICDIM '07, Volume 2, 28--31 Oct. 2007, pp. 744--749.

[9] Weimao Ke , Katy Borner , Lalitha Viswanath, Major Information Visualization Authors, Papers and Topics in the ACM Library, Proceedings of the IEEE Symposium on Information Visualization, p.216.1, October 10-12, 2004 [doi>10.1109/INFOVIS.2004.45]

[10] Xiaoming Liu , Johan Bollen , Michael L. Nelson , Herbert Van de Sompel , Jeremy Hussell , Rick Luce , Linn Marks, Toolkits for visualizing co-authorship graph, Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries, June 07-11, 2004, Tuscon, AZ, USA [doi>10.1145/996350.996470]

[11] Nah, F. 2004. A study on tolerable waiting time: how long are Web users willing to wait? Behaviour and Information Technology, Volume 23, Number 3, May-June 2004, 153--163(11).

[12] Mario A. Nascimento , Jörg Sander , Jeffrey Pound, Analysis of SIGMOD's co-authorship graph, ACM SIGMOD Record, v.32 n.3, p.8-10, September 2003 [doi>10.1145/945721.945722]

[13] Newman, M., Scientific Collaboration Networks: I. Network Construction and Fundamental Results, Physical Review E, 64(1):016131, 2001.

[14] Newman, M. E. J. 2004. Coauthorship networks and patterns of scientific collaboration. P NATL ACAD SCI USA, 101(1):5200--5205, April 2004.

[15] Felipe Ortega , Jesus M. Gonzalez Barahona, Quantitative analysis of thewikipedia community of users, Proceedings of the 2007 international symposium on Wikis, p.75-86, October 21-25, 2007, Montreal, Quebec, Canada [doi>10.1145/1296951.1296960]

[16] Joanna Yi-Hang Pong , Ron Chi-Wai Kwok , Raymond Yiu-Keung Lau , Jin-Xing Hao , Percy Ching-Chi Wong, A comparative study of two automatic document classification methods in a library setting, Journal of Information Science, v.34 n.2, p.213-230, April 2008 [doi>10.1177/0165551507082592]

[17] Prasarnphanich, P. and Wagner, C. 2008. Creating Critical Mass in Collaboration Systems: Insights from Wikipedia. IEEE DEST 2008 (Phitsanulok, Thailand, Feb. 26--29, 2008), 126--130.

[18] Wasserman, S., Faust, K., Social Network Analysis, Cambridge University Press, Cambridge, 1994.

[19] Watts, D. J., Strogatz, S. H., Collective dynamics of 'small-world' networks, Nature, 393:440--442, 1998.

[20] Dennis M. Wilkinson , Bernardo A. Huberman, Cooperation and quality in wikipedia, Proceedings of the 2007 international symposium on Wikis, p.157-164, October 21-25, 2007, Montreal, Quebec, Canada [doi>10.1145/1296951.1296968]

[21] Yoshikane, F., Nozawa, T., Tsuji, K., Comparative Analysis of Co-authorship Networks Considering Authors' Roles in Collaboration: Differences between the Theoretical and Application Areas, ISSI 2005, July, 2005, vol. 2, 509--516.

Further notes[edit]

Facts about "A method for measuring co-authorship relationships in MediaWiki"RDF feed
AbstractCollaborative writing through wikis has beCollaborative writing through wikis has become increasingly popular in recent years. When users contribute to a wiki article they implicitly establish a co-authorship relationship. Discovering these relationships can be of value, for example in finding experts on a given topic. However, it is not trivial to determine the main co-authors for a given author among the potentially thousands who have contributed to a given author's edit history. We have developed a method and algorithm for calculating a co-authorship degree for a given pair of authors. We have implemented this method as an extension for the MediaWiki system and demonstrate its performance which is satisfactory in the majority of cases. This paper also presents a method of determining an expertise group for a chosen topic.ing an expertise group for a chosen topic.
Added by wikilit teamNo +
Conference locationPorto, Portugal +
Dates8-10 +
Doi10.1145/1822258.1822280 +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22A%2Bmethod%2Bfor%2Bmeasuring%2Bco-authorship%2Brelationships%2Bin%2BMediaWiki%22 +
Has authorLibby Veng-Sam Tang +, Robert P. Biuk-Aghai + and Simon Fong +
MonthSeptember +
Peer reviewedYes +
Publication typeConference paper +
Published inProceedings of the 4th International Symposium on Wikis (WikiSym '08) +
PublisherACM +
Revid10,535 +
TitleA method for measuring co-authorship relationships in MediaWiki
Urlhttp://doi.acm.org/10.1145/1822258.1822280 +
Year2008 +