NDLI: A Divide-and-Conquer Approach to Detecting Latent Community of Practice from Virtual Organizations

Content Provider	IEEE Xplore Digital Library
Author	Jung, J.J. Chul-Mo Koo Geun-Sik Jo
Copyright Year	2007
Description	Author affiliation: Yeungnam Univ., Seoul (Jung, J.J.)
Abstract	Social network analysis methods have been exploited to support efficient collaborations in virtual organizations. However, a social network within a virtual organization is simply assumed to be homogeneous, i.e., all linkages between actors are contextually identical. For example, in bibliometrics, all linkages on a network are identical to "co- authoring" relationship between the actors. In this paper, we focus on integrating multiple social networks of which relationships between actors are heterogeneous. It makes a new relationship between two actors in different social networks possible to be discovered. In particular, we show how to detect latent community of practice from the multiple networks by measuring semantic centrality of actors. Thereby, we propose a divide-and-conquer approach based on the context matching algorithm, which is capable of separating the multiple social networks, with respect to the contexts of practice. We also take into account the relationships between topological features and the labels by statistical co-occurrence analysis.
Starting Page	129
Ending Page	134
File Size	218646
Page Count	6
File Format	PDF
ISBN	0769530389
DOI	10.1109/ICCIT.2007.367
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-21
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Couplings Power measurement Social network services Bibliometrics Ontologies Particle measurements International collaboration Labeling Information technology Information analysis
Content Type	Text
Resource Type	Article

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