“Follow the Leader”: A Centrality Guided Clustering and Its Application to Social Network Analysis
Within graph theory and network analysis, centrality of a vertex measures the relative importance of a vertex within a graph. The centrality plays key role in network analysis and has been widely studied using different methods. Inspired by the idea of vertex centrality, a novel centrality guided cl...
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Format: | Article |
Language: | English |
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Wiley
2013-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2013/368568 |
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author | Qin Wu Xingqin Qi Eddie Fuller Cun-Quan Zhang |
author_facet | Qin Wu Xingqin Qi Eddie Fuller Cun-Quan Zhang |
author_sort | Qin Wu |
collection | DOAJ |
description | Within graph theory and network analysis, centrality of a vertex measures the relative importance of a
vertex within a graph. The centrality plays key role in network analysis and has been widely studied
using different methods. Inspired by the idea of vertex centrality, a novel centrality guided clustering
(CGC) is proposed in this paper. Different from traditional clustering methods which usually choose the
initial center of a cluster randomly, the CGC clustering algorithm starts from a “LEADER”—a vertex
with the highest centrality score—and a new “member” is added into the same cluster as the “LEADER” when
some criterion is satisfied. The CGC algorithm also supports overlapping membership. Experiments on
three benchmark social network data sets are presented and the results indicate that the proposed CGC
algorithm works well in social network clustering. |
format | Article |
id | doaj-art-0710458524d642faaca2bbe285be0df8 |
institution | Kabale University |
issn | 1537-744X |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
series | The Scientific World Journal |
spelling | doaj-art-0710458524d642faaca2bbe285be0df82025-02-03T01:11:00ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/368568368568“Follow the Leader”: A Centrality Guided Clustering and Its Application to Social Network AnalysisQin Wu0Xingqin Qi1Eddie Fuller2Cun-Quan Zhang3Department of Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, ChinaDepartment of Mathematics, West Virginia University, Morgantown, WV 26505, USADepartment of Mathematics, West Virginia University, Morgantown, WV 26505, USADepartment of Mathematics, West Virginia University, Morgantown, WV 26505, USAWithin graph theory and network analysis, centrality of a vertex measures the relative importance of a vertex within a graph. The centrality plays key role in network analysis and has been widely studied using different methods. Inspired by the idea of vertex centrality, a novel centrality guided clustering (CGC) is proposed in this paper. Different from traditional clustering methods which usually choose the initial center of a cluster randomly, the CGC clustering algorithm starts from a “LEADER”—a vertex with the highest centrality score—and a new “member” is added into the same cluster as the “LEADER” when some criterion is satisfied. The CGC algorithm also supports overlapping membership. Experiments on three benchmark social network data sets are presented and the results indicate that the proposed CGC algorithm works well in social network clustering.http://dx.doi.org/10.1155/2013/368568 |
spellingShingle | Qin Wu Xingqin Qi Eddie Fuller Cun-Quan Zhang “Follow the Leader”: A Centrality Guided Clustering and Its Application to Social Network Analysis The Scientific World Journal |
title | “Follow the Leader”: A Centrality Guided Clustering and Its Application to Social Network Analysis |
title_full | “Follow the Leader”: A Centrality Guided Clustering and Its Application to Social Network Analysis |
title_fullStr | “Follow the Leader”: A Centrality Guided Clustering and Its Application to Social Network Analysis |
title_full_unstemmed | “Follow the Leader”: A Centrality Guided Clustering and Its Application to Social Network Analysis |
title_short | “Follow the Leader”: A Centrality Guided Clustering and Its Application to Social Network Analysis |
title_sort | follow the leader a centrality guided clustering and its application to social network analysis |
url | http://dx.doi.org/10.1155/2013/368568 |
work_keys_str_mv | AT qinwu followtheleaderacentralityguidedclusteringanditsapplicationtosocialnetworkanalysis AT xingqinqi followtheleaderacentralityguidedclusteringanditsapplicationtosocialnetworkanalysis AT eddiefuller followtheleaderacentralityguidedclusteringanditsapplicationtosocialnetworkanalysis AT cunquanzhang followtheleaderacentralityguidedclusteringanditsapplicationtosocialnetworkanalysis |