Exploration and visualization of administrator network in wikipedia
|Exploration and visualization of administrator network in wikipedia|
|Author(s)||Yousaf J., Li J., Zhang H., Hou L.|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||human factors, social network analysis, visualization, Wikipedia (Extra: Content qualities, Knowledge system, Prototype system, Small worlds, Social Network Analysis, Topic model, Wikipedia, Artificial intelligence, Decision support systems, Flow visualization, Human engineering, Information dissemination, Social networking (online), Visualization)|
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Exploration and visualization of administrator network in wikipedia is a 2012 conference paper written in English by Yousaf J., Li J., Zhang H., Hou L. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
Wikipedia has become one of the most widely used knowledge systems on the Web. It contains the resources and information with different qualities contributed by different set of authors. A special group of authors named administrators plays an important role for content quality in Wikipedia. Understanding the behaviors of administrators in Wikipedia can facilitate the management of Wikipedia system, and empower some applications such as article recommendation and expertise administrator finding for given articles. This paper addresses the work of the exploration and visualization of the administrator network in Wikipedia. Administrator network is firstly constructed by using co-editing relationship and six characteristics for administrators are proposed to describe the behaviors of administrators in Wikipedia from different perspectives. Quantified calculation of these characteristics is then put forwarded by using social network analysis techniques. Topic model is used to relate content of Wikipedia to the interest diversity of administrators. Based on the media wiki history records from the January 2010 to January 2011, we develop an administrator exploration prototype system which can rank the selected characteristics for administrators and can be used as a decision support system. Furthermore, some meaningful observations are found to show that the administrator network is a healthy small world community and a strong centralization of the network around some hubs/stars is obtained to mean a considerable nucleus of very active administrators that seems to be omnipresent. These top ranked administrators ranking is found to be consistent with the number of barn stars awarded to them.
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