Exploring Emergent Semantic Communities from DBLP Bibliography Database

Author

Huang, ZhiXing ; Yan, Yan ; Qiu, Yuhui ; Qiao, Shuqiong

Author_Institution

Semantic Grid Lab., Southwest Univ., Chongqing, China

fYear

2009

fDate

20-22 July 2009

Firstpage

219

Lastpage

224

Abstract

In this paper, we construct a word association network from DBLP bibliography records and detect its evolution progress based on community discovery algorithm CPM and CPMw. We found that the network is of complex network characteristics, and the detected semantic communities can be classified into two categories: giant community and small community. They differ in size and content, and behave differently in the network evolution. Discovering the evolution of network and the emergent semantic communities can help researchers grasp the state of arts of the related field, identify emergent issues and thus inspire new idea to solve scientific questions.

Keywords

bibliographic systems; complex networks; information retrieval; text analysis; CPM algorithm; CPMw algorithm; DBLP bibliography database; DBLP bibliography record; Digital Bibliography & Library Project; clique percolation method; community discovery algorithm; complex network; emergent semantic community; giant community; network evolution; small community; word association network; Bibliographies; Clustering algorithms; Complex networks; Computer science; Databases; Frequency; Information analysis; Social network services; Software libraries; Web server; Clique Percolation Method; complex network; evolution; semantic community;

fLanguage

English

Publisher

ieee

Conference_Titel

Social Network Analysis and Mining, 2009. ASONAM '09. International Conference on Advances in

Conference_Location

Athens

Print_ISBN

978-0-7695-3689-7

Type

conf

DOI

10.1109/ASONAM.2009.6

Filename

5231882