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Network analysis of collaboration structure in Wikipedia
Abstract In this paper we give models and algorithmIn this paper we give models and algorithms to describe and analyze the collaboration among authors of Wikipedia from a network analytical perspective. The edit network encodes who interacts how with whom when editing an article; it significantly extends previous network models that code author communities in Wikipedia. Several characteristics summarizing some aspects of the organization process and allowing the analyst to identify certain types of authors can be obtained from the edit network. Moreover, we propose several indicators characterizing the global network structure and methods to visualize edit networks. It is shown that the structural network indicators are correlated with quality labels of the associated Wikipedia articles.bels of the associated Wikipedia articles.
Added by wikilit team No but verified  +
Collected data time dimension Longitudinal  +
Comments "From both sets, controversial and featured, we have chosen a random sample of 60 articles and downloaded their complete history in March 2008" (p. 739) In my view, this is a design research article. -- Arto
Conclusion "In this paper we have defined edit network"In this paper we have defined edit networks to encode the collaborative work of open content production communities, such as Wikipedia. An edit network summarizes the work of individual authors as well as positive and negative interaction among authors. Information about individual authors reveal the roles that users play during article writing; for instance, it shows which users are the providers of content and which users fulfill a control-function by watching the page and reverting edits that they do not approve. Coding the edit interaction among users enables us to spot pairs of users who erase each others’ edits and pair of users who prevent each others’ edits from being deleted. A convenient approach for qualitative exploration of edit networks is enabled by adequate visualization techniques. The generated images give a good overview over the distribution of editor roles in the community, for instance, they show which are the most active authors and whether there are editors particularly focused on deletion or restoration of content. The network images also show that the global collaboration structure of some pages indeed differs dramatically (compare Fig. 1 and Fig. 2) and that some networks are very imbalanced with respect to which group provides the content (Fig. 3). Quantitative indicators for the network structure that are proposed in this paper assess whether the author community partitions into poles of opinion and, if so, whether the contributions of these groups are balanced. We have shown that articles of different quality differ on average in their structural parameters. Naturally, analysis of the edit network is not bounded to the computation of opposing groups, but many more methods from social network analysis can be fruitfully applied. In future work we plan to analyze how edit networks evolve over time. For instance, it would be interesting to know about the collaboration structure of an article before it gets featured (being the time when the high-quality edits are performed). Exploratory dynamic analysis could be done by animated visualization showing when users become active and how controversies evolve and fade out over time." (p. 739) "Another promising avenue to follow is to augment the edit network by taking into account other types of interaction among authors. Wikipedia provides talk-pages on which users can discuss articles, user-pages where authors write about themselves, and associated usertalk-pages where users can make supportive comments or express their criticism to other users. A more complete network among authors would incorporate these positive or negative discussion along with the edit interaction. However, it should be noted that it is probably difficult to design a purely automatic method for determining whether statements on talkpages are meant in a supportive way or whether they express criticism." (p. 740) whether they express criticism." (p. 740)
Conference location Madrid, Spain +
Data source Wikipedia pages  +
Google scholar url  +
Has author Ulrik Brandes + , Patrick Kenis + , Jürgen Lerner + , Denise van Raaij +
Has domain Computer science +
Has topic Featured articles + , Participation trends +
Peer reviewed Yes  +
Publication type Conference paper  +
Published in Proc. 18th Intl. World Wide Web Conference (WWW 2009) +
Research design Mathematical modeling  +
Research questions How to "analyze collaboration networks encoding the edit interaction among users who contribute to a Wikipedia page or a set of pages" (p. 731)
Revid 10,882  +
Theories N/A
Theory type Design and action  +
Title Network Analysis of Collaboration Structure in Wikipedia
Unit of analysis Edit  + , User  +
Url  +
Wikipedia coverage Main topic  +
Wikipedia data extraction Live Wikipedia  +
Wikipedia language Not specified  +
Wikipedia page type Article  + , History  +
Year 2009  +
Creation dateThis property is a special property in this wiki. 9 August 2012 12:33:33  +
Categories Featured articles  + , Participation trends  + , Computer science  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:30:05  +
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