Asymmetric 2-Mode Network in Social Computing and Decomposition Algorithm

Shuren Zhang (), Yu Chen () and Meiqi Fang ()
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Shuren Zhang: Alibaba Business College,Hangzhou Normal University
Yu Chen: Information College, Renmin University
Meiqi Fang: Information College, Renmin University

A chapter in Emerging Themes in Information Systems and Organization Studies, 2011, pp 211-221 from Springer

Abstract: Abstract In Social Network Service (SNS) using Web2.0 technologies, new social structures are constructed bottom-up. Such social emergence has recently drawn many interests. New social structures are characterized by the social relation formed from the gradual development among the users in the system. In this world, the optimization of the social structure and the organization of the information in Web2.0 communities can be improved with complex network decomposition, on-line social network analysis, and other methods. Such a cross field covering man-machine interaction design, complex network computing and social network analysis is known as social computing. An important step in social computing is to decompose various 2-Mode networks in a community. On the basis that the actions of subject nodes and object nodes during social computing were analyzed and found to be different extended investigation was conducted on the 2-Mode network decomposition algorithm in this study, concluding with the proposition of several 2-Mode network decomposition algorithms.

Keywords: Intermediate Node; Decomposition Algorithm; Social Network Service; Correlation Weight; Social Computing (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2739-2_17

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DOI: 10.1007/978-3-7908-2739-2_17

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