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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Volpentesta, A.P., Felicetti, A.M. (2010). Eigenvector Centrality Based on Shared Research Topics in a Scientific Community. In: Camarinha-Matos, L.M., Boucher, X., Afsarmanesh, H. (eds) Collaborative Networks for a Sustainable World. PRO-VE 2010. IFIP Advances in Information and Communication Technology, vol 336. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15961-9_75
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DOI: https://doi.org/10.1007/978-3-642-15961-9_75
Publisher Name: Springer, Berlin, Heidelberg
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