Seeing similarity in the face of difference: enabling comparison of online production systems

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Seeing similarity in the face of difference: enabling comparison of online production systems
Authors: Claudia Müller-Birn, Benedikt Meuthrath, Andreas Erber, Sebastian Burkhart, Anne Baumgrass, JanetteLehmann, Robert Schmidl [edit item]
Citation: Social Network Analysis and Mining  : . 2010.
Publication type: Journal article
Peer-reviewed: Yes
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Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: Added on initial load
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Seeing similarity in the face of difference: enabling comparison of online production systems is a publication by Claudia Müller-Birn, Benedikt Meuthrath, Andreas Erber, Sebastian Burkhart, Anne Baumgrass, JanetteLehmann, Robert Schmidl.


[edit] Abstract

The purpose of this paper is to present an approach to model, analyze and visualize online production systems, such as Wikipedia, open source software development processes, and Flickr. While the final result of the production in these systems depends on the type of product (e.g., content, software, and tags), there are similarities in their modes of actions. The approach taken is to interpret online production systems as social information spaces, and to describe them with a generic vocabulary that is implemented in software. One scenario for open content production is presented using data from the online encyclopedia Wikipedia. The generic vocabulary is extended by wiki-specific vocabulary; the value of the approach is illustrated with two selected network presentations. The main insight is that key processes in online production systems can be reduced to two basic items and three fundamental relations. Various kinds of online production systems can be mapped onto this vocabulary and the same software solution can be applied for analyzing them. The approach presented here has two practical implications: first, available data from online production systems can be obtained and evaluated more easily. Second, results are comparable because the generic vocabulary serves as a shared understanding of online production systems.

[edit] Research questions

"The purpose of this paper is to present an approach to model, analyze and visualize online production systems, such as Wikipedia, open source software development processes, and Flickr. While the final result of the production in these systems depends on the type of product (e.g., content, software, and tags), there are similarities in their modes of actions. The approach taken is to interpret online production systems as social information spaces, and to describe them with a generic vocabulary that is implemented in software."

Research details

Topics: Wikipedia as a system, Other collaboration topics [edit item]
Domains: Computer science [edit item]
Theory type: Design and action [edit item]
Wikipedia coverage: Case [edit item]
Theories: "Undetermined" [edit item]
Research design: Statistical analysis [edit item]
Data source: Wikipedia pages [edit item]
Collected data time dimension: Cross-sectional [edit item]
Unit of analysis: Website [edit item]
Wikipedia data extraction: Dump [edit item]
Wikipedia page type: Article, Information categorization and navigation [edit item]
Wikipedia language: English [edit item]

[edit] Conclusion

"The main insight is that key processes in online production systems can be reduced to two basic items and three fundamental relations. Various kinds of online production systems can be mapped onto this vocabulary and the same software solution can be applied for analyzing them. The approach presented here has two practical implications: first, available data from online production systems can be obtained and evaluated more easily. Second, results are comparable because the generic vocabulary serves as a shared understanding of online production systems."

[edit] Comments


Further notes[edit]

Facts about "Seeing similarity in the face of difference: enabling comparison of online production systems"RDF feed
AbstractThe purpose of this paper is to present anThe purpose of this paper is to present an approach to model, analyze and visualize online production systems, such as Wikipedia, open source software development processes, and Flickr. While the final result of the production in these systems depends on the type of product (e.g., content, software, and tags), there are similarities in their modes of actions. The approach taken is to interpret online production systems as social information spaces, and to describe them with a generic vocabulary that is implemented in software. One scenario for open content production is presented using data from the online encyclopedia Wikipedia. The generic vocabulary is extended by wiki-specific vocabulary; the value of the approach is illustrated with two selected network presentations. The main insight is that key processes in online production systems can be reduced to two basic items and three fundamental relations. Various kinds of online production systems can be mapped onto this vocabulary and the same software solution can be applied for analyzing them. The approach presented here has two practical implications: first, available data from online production systems can be obtained and evaluated more easily. Second, results are comparable because the generic vocabulary serves as a shared understanding of online production systems.nderstanding of online production systems.
Added by wikilit teamAdded on initial load +
Collected data time dimensionCross-sectional +
ConclusionThe main insight is that key processes in The main insight is that key processes in online production systems can be reduced to two basic items and three fundamental relations. Various kinds of online production systems can be mapped onto this vocabulary and the same software solution can be applied for analyzing them. The approach presented here has two practical implications: first, available data from online production systems can be obtained and evaluated more easily. Second, results are comparable because the generic vocabulary serves as a shared understanding of online production systems.nderstanding of online production systems.
Data sourceWikipedia pages +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22Seeing%2Bsimilarity%2Bin%2Bthe%2Bface%2Bof%2Bdifference%3A%2Benabling%2Bcomparison%2Bof%2Bonline%2Bproduction%2Bsystems%22 +
Has authorClaudia Müller-Birn +, Benedikt Meuthrath +, Andreas Erber +, Sebastian Burkhart +, Anne Baumgrass +, JanetteLehmann + and Robert Schmidl +
Has domainComputer science +
Has topicWikipedia as a system + and Other collaboration topics +
Peer reviewedYes +
Publication typeJournal article +
Published inSocial Network Analysis and Mining +
Research designStatistical analysis +
Research questionsThe purpose of this paper is to present anThe purpose of this paper is to present an approach to model, analyze and visualize online production systems, such as Wikipedia, open source software development processes, and Flickr. While the final result of the production in these systems depends on the type of product (e.g., content, software, and tags), there are similarities in their modes of actions. The approach taken is to interpret online production systems as social information spaces, and to describe them with a generic vocabulary that is implemented in software.ocabulary that is implemented in software.
Revid10,937 +
TheoriesUndetermined
Theory typeDesign and action +
TitleSeeing similarity in the face of difference: enabling comparison of online production systems
Unit of analysisWebsite +
Urlhttp://www.springerlink.com/content/u664v208279w7447/ +
Wikipedia coverageCase +
Wikipedia data extractionDump +
Wikipedia languageEnglish +
Wikipedia page typeArticle + and Information categorization and navigation +
Year2010 +