Exploring Emergent Semantic Communities from DBLP Bibliography Database

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 t...

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Bibliographic Details
Published in2009 International Conference on Advances in Social Network Analysis and Mining : 20-22 July 2009 pp. 219 - 224
Main Authors Zhixing Huang, Yan Yan, Yuhui Qiu, Shuqiong Qiao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Bibliographies
Clique Percolation Method
Clustering algorithms
complex network
Complex networks
Computer science
evolution
Frequency
Information analysis
semantic community
Social network services
Software libraries
Web server
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ISBN9780769536897
0769536891
DOI10.1109/ASONAM.2009.6

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Summary: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.
ISBN:9780769536897
0769536891
DOI:10.1109/ASONAM.2009.6