Eigenvector Centrality Based on Shared Research Topics in a Scientific Community

被引：0

作者：

Volpentesta, Antonio P. ^{[1
]}

Felicetti, Alberto M. ^{[1
]}

机构：

[1] Univ Calabria, Dept Elect Comp Sci & Syst, I-87036 Arcavacata Di Rende, CS, Italy

来源：

COLLABORATIVE NETWORKS FOR A SUSTAINABLE WORLD | 2010年 / 336卷

关键词：

Eigenvector centrality; scientific community; weighted multi-hypergraph;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：626 / 633

页数：8

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