Distributed Assessment of Network Centralities in Complex Social Networks

被引：1

作者：

Wehmuth, Klaus ^{[1
]}

Ziviani, Artur ^{[1
]}

机构：

[1] LNCC, Natl Lab Sci Comp, Petropolis, RJ, Brazil

来源：

2012 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM) | 2012年

关键词：

Network science; Centrality; Network analysis; BETWEENNESS;

D O I：

10.1109/ASONAM.2012.181

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present our ongoing work towards a framework for the Distributed Assessment of Network Centralities (DANCE) in complex networks. DANCE targets the efficient evaluation of the network centrality based only on localized information, restricted to a limited neighborhood around each node of the network. In this way, it does not require full knowledge of the network topology. We also discuss how DANCE can be tailored to evaluate different kinds of network centrality. This outcome is quite useful given the vast potential applicability of centrality-based analysis on the large-scale complex social networks.

引用

页码：1046 / 1049

页数：4

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