Visualizing Co-Authorship Networks in Online Wikipedia

Biuk-Aghai, Robert P.

doi:10.1109/iscit.2006.339838

Cited by 27 publications

(15 citation statements)

References 4 publications

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“…In MediaWiki, article is called page and each page has a unique page ID 1 . Also, each revision has a unique revision ID.…”

Section: Discussionmentioning

confidence: 99%

“…The applicability of our method is not limited to the MediaWiki system, however. Besides other wiki and co-authoring systems it can also be used in visualization systems such as WikiVis [1] which discovers implicit relationships among articles in Wikipedia. WikiVis is based on a simple notion of co-authorship between articles.…”

Section: Discussionmentioning

confidence: 99%

“…Most of the work in the literature focuses on analyzing co-authorship by means of graphical visualization and using network analysis. Biuk-Aghai [1] presented a collection of display layouts for visualizing co-authorship networks in online Wikipedia. The visualizations display relationships between entities, between categories, and between search results, respectively.…”

Section: Related Workmentioning

confidence: 99%

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A method for measuring co-authorship relationships in MediaWiki

Tang¹,

Biuk-Aghai²,

Fong³

2008

Proceedings of the 4th International Symposium on Wikis

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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.

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“…In MediaWiki, article is called page and each page has a unique page ID 1 . Also, each revision has a unique revision ID.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A method for measuring co-authorship relationships in MediaWiki

Tang¹,

Biuk-Aghai²,

Fong³

2008

Proceedings of the 4th International Symposium on Wikis

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show abstract

“…Approaches for visualizing co-authorship networks include, for example, three-dimensional graph forms [100]. Kane and Alavi [51] model users and technology as a bipartite social network: they argue that while communication support systems may be visualized as edges, information management technology may be modeled as vertices.…”

Section: Related Workmentioning

confidence: 99%

Multilayered analysis of co-development of business information systems

Aram

Neumann

2015

J Internet Serv Appl

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Business information systems (BIS) comprise technological (e.g. programs), informational (e.g. content) and social artifacts (e.g. collaboration structures). Typically, such systems are constantly and collectively developed (co-developed) further by a variety of individuals within the organization. By recognizing these varying types of actors (concerning their goals, technical expertise and language means) and their predominantly developed artifact type, one can distinguish two types of subsystems: technical subsystems wherein the development of the system behavior is conducted by software developers; and business subsystems dominated by end-users developing informational artifacts. So far, co-development structures within and between these subsystems are not well understood, especially the aspect that -potentially driven by appropriate measures such as the provision of domain-specific languagesco-development might shift between these subsystems. This paper presents an approach for characterizing the co-development of real-world BIS with respect to direct participation from different kinds of contributors. This multilayered approach allows us to analyze the co-development with programming languages, domain-specific languages and end-user tools. The approach is suited to assess the direct participation of individuals from different subsystems in the development of evolving BIS. We focus on the intersection of these subsystems, present appropriate metrics and a multilayered analysis scheme. Contributions to artifacts are analyzed using social network analysis to detect structural properties of continuous co-development. The application to Learn@WU, a real-world BIS, demonstrates how end-user enabling technologies have shifted the co-development effort of the system from a small group of developers to a several orders of magnitude larger group of contributors. We observed an increase of direct participation over time on both informational and executable artifacts, while the number of technical experts was more or less constant. Our approach may act as a trigger for the application and further development of rigorous instruments for assessing co-development of BIS.

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“…To our knowledge there are only two relevant studies. The first, by Biuk-Aghai [2], experiments with various layouts for visualizing articles and the connections between them as 3D graphs. Unfortunately the resulting system-WikiVis-received no evaluation.…”

Section: Related Workmentioning

confidence: 99%

A link-based visual search engine for Wikipedia

Milne

Witten

2011

Proceedings of the 11th Annual International ACM/IEEE Joint Conference on Digital Libraries

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This paper introduces Hōpara, a new search engine that aims to make Wikipedia easier to explore. It works on top of the encyclopedia's existing link structure, abstracting away from document content and allowing users to navigate the resource at a higher level. It utilizes semantic relatedness measures to emphasize articles and connections that are most likely to be of interest, visualization to expose the structure of how the available information is organized, and lightweight information extraction to explain itself.Hōpara is evaluated in a formal user study, where it is compared against a baseline system that provides the same functionality without visualization, and the incumbent Wikipedia search interface. Although objective performance measures are inconclusive, subjective preference for the new search engine is very high. All but one of twelve participants preferred the new system over Wikipedia, despite the latter's familiarity. The visualization component was a deciding factor: all but two participants chose it over the non-visual system.

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Visualizing Co-Authorship Networks in Online Wikipedia

Cited by 27 publications

References 4 publications

A method for measuring co-authorship relationships in MediaWiki

A method for measuring co-authorship relationships in MediaWiki

Multilayered analysis of co-development of business information systems

A link-based visual search engine for Wikipedia

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