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
收藏
页码：626 / 633
页数：8
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