DocumentCode :
553207
Title :
Exploration of social science´s compactness by cluster analysis
Author :
YunFeng Chang ; Yuan Zhao ; ShengQin Feng
Author_Institution :
Coll. of Sci., China Three Gorges Univ., Yichang, China
Volume :
3
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
2031
Lastpage :
2034
Abstract :
In this paper, we proposed to explore the compactness of social science by cluster analysis. In terms of the aggregated journal-journal citation reports of the Institute of Scientific Information (ISI), 1578 social science journals are clustered by an emerging hierarchical clustering method with single-link, complete-link and average-link as cluster-cluster similarities. The statistical properties of the clustering results, detailed comparisons of the clustering results and graph-theoretic interpretations show that social science has little interdisciplinary property, which demonstrates the intra-domain compactness of social science.
Keywords :
citation analysis; graph theory; pattern clustering; social sciences; statistical analysis; aggregated journal-journal citation report; cluster-cluster similarity; emerging hierarchical clustering method; graph-theoretic interpretation; interdisciplinary property; intradomain compactness; social science compactness; social science journal; statistical property; Clustering methods; Complex networks; Educational institutions; Knowledge engineering; Physics; Presses; Probability distribution; cluster analysis; compactness; interdisciplinarity; scientific domain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
Type :
conf
DOI :
10.1109/FSKD.2011.6019876
Filename :
6019876
Link To Document :
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