Community Discovery Algorithm of Citation Semantic Link Network

Author

Weiling Chen ; Fengxia Yin ; Gang Wang

Author_Institution

Dept. of Comput., Chongqing Creation Vocational Coll., Chongqing, China

Volume

2

fYear

2013

fDate

28-29 Oct. 2013

Firstpage

289

Lastpage

292

Abstract

Citation semantic link network make the citation network to not only has the ability of semantic representation but also has the ability of semantic reasoning by combining semantic link network with citation network. It provides a more efficient method for the citation network retrieval and the complex network research. Based on citation semantic link network, this paper proposes a community discovery algorithm of citation semantic link network. This algorithm can find the semantic community in citation semantic link network. Revealing the community structure of citation semantic link network not only is of great significance for understanding the citation semantic link network structure and analyzing the network characteristics, but also has great meaning for understanding the cutting-edge issues of this field, and predicting the future development direction of this field and possible research hotspots.

Keywords

Web sites; citation analysis; citation network retrieval; citation semantic link network; community discovery algorithm; community structure; complex network research; semantic reasoning; semantic representation; Algorithm design and analysis; Clustering algorithms; Cognition; Communities; Complex networks; Partitioning algorithms; Semantics; citation semantic link network; complex network; semantic community discovery;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on

Conference_Location

Hangzhou

Type

conf

DOI

10.1109/ISCID.2013.186

Filename

6804885