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Conference Papers Year : 2010

Eigenvector Centrality Based on Shared Research Topics in a Scientific Community

Abstract

In this paper we propose a weighted multi-hypergraph as logical structure to model relationships between researchers and interest groups that join them on the base of shared research topics in a given scientific community. The well known concept of eingenvector centrality for graphs is extended to weighted multi-hypergraphs and we present a model instantiation for centrality analysis in the Pro-VE scientific community.
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hal-01055937 , version 1 (25-08-2014)

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Antonio P. Volpentesta, Alberto M. Felicetti. Eigenvector Centrality Based on Shared Research Topics in a Scientific Community. 11th IFIP WG 5.5 Working Conference on Virtual Enterprises (PRO-VE), Oct 2010, Saint-Etienne, France. pp.626-633, ⟨10.1007/978-3-642-15961-9_75⟩. ⟨hal-01055937⟩
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