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.
Luis M. Camarinha-Matos; Xavier Boucher; Hamideh Afsarmanesh. 11th IFIP WG 5.5 Working Conference on Virtual Enterprises (PRO-VE), Oct 2010, Saint-Etienne, France. Springer, IFIP Advances in Information and Communication Technology, AICT-336, pp.626-633, 2010, Collaborative Networks for a Sustainable World. 〈10.1007/978-3-642-15961-9_75〉
https://hal.inria.fr/hal-01055937
Contributeur : Hal Ifip
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Dernière modification le : vendredi 11 août 2017 - 13:18:52
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Antonio P. Volpentesta, Alberto M. Felicetti. Eigenvector Centrality Based on Shared Research Topics in a Scientific Community. Luis M. Camarinha-Matos; Xavier Boucher; Hamideh Afsarmanesh. 11th IFIP WG 5.5 Working Conference on Virtual Enterprises (PRO-VE), Oct 2010, Saint-Etienne, France. Springer, IFIP Advances in Information and Communication Technology, AICT-336, pp.626-633, 2010, Collaborative Networks for a Sustainable World. 〈10.1007/978-3-642-15961-9_75〉. 〈hal-01055937〉
