COMMUNITY, HIERARCHY AND INTERWEAVEMENT IN COLLABORATION NETWORKS

Hui Chang (), Bei-Bei Su (), Chun-Ping Liu (), Michael Gao (), Zeng-Ru Di () and Da-Ren He ()
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Hui Chang: College of Physics Science and Technology, Yangzhou University, Yangzhou, 225002, China
Bei-Bei Su: Wuxi Professional College of Science and Technology, Wuxi 214028, China
Chun-Ping Liu: Institute of Mathematics, Yangzhou University, Yangzhou, 225002, China
Michael Gao: Department of Computer Science, University of North Carolina, Charlotte, NC 28223, USA
Zeng-Ru Di: Department of Systems Science and Center for Complexity Research, Beijing Normal University, Beijing, 100875, China
Da-Ren He: College of Physics Science and Technology, Yangzhou University, Yangzhou, 225002, China

International Journal of Modern Physics C (IJMPC), 2008, vol. 19, issue 10, 1537-1554

Abstract: We propose quantitative definitions of networkcommunityandhierarchyin collaboration networks described by bipartite graphs, whose basic elements, named actors, take part in events, organizations or activities, named acts. We show, by examples, in some practical collaboration networks that the network acts, represented by certain complete subgraphs in the projected single-mode network, usually are highly interwoven. However, we can easily identify the communities by the definition and the algorithm presented in this paper. We also propose a novel statistical quantity, i.e.,interweavement, which describes quantitatively how the acts are interwoven in a collaboration network.

Keywords: Collaboration networks; community; hierarchy; interweavement; 89.75.Hc; 89.75.-k; 87.23.Ge; 89.40.Bb (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1142/S0129183108013084

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