The Structure and Dynamics of Co-Citation Clusters: A Multiple-Perspective Co-Citation Analysis


A multiple-perspective cocitation analysis method is introduced for characterizing and interpreting the structure and dynamics of cocitation clusters. The method facilitates analytic and sense making tasks by integrating network visualization, spectral clustering, automatic cluster labeling, and text summarization. Cocitation networks are decomposed into cocitation clusters.The interpretation of these clusters is augmented by automatic cluster labeling and summarization. The method focuses on the interrelations between a cocitation cluster’s members and their citers. The generic method is applied to a three-part analysis of the field of information science as defined by 12 journals published between 1996 and 2008: (a) a comparative author cocitation analysis (ACA), (b) a progressive ACA of a time series of cocitation networks, and (c) a progressive document cocitation analysis (DCA). Results show that the multiple-perspective method increases the interpretability and accountability of both ACA and DCA networks.

DOI: 10.1002/asi.21309

Extracted Key Phrases

19 Figures and Tables

Citations per Year

277 Citations

Semantic Scholar estimates that this publication has 277 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Chen2010TheSA, title={The Structure and Dynamics of Co-Citation Clusters: A Multiple-Perspective Co-Citation Analysis}, author={Chaomei Chen and Fidelia Ibekwe-Sanjuan and Jianhua Hou}, journal={JASIST}, year={2010}, volume={61}, pages={1386-1409} }