Supplementary materials of the study are available at http://cluster.cis.drexel.edu/∼cchen/papers/2009/infosci/.
The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis
Article first published online: 18 MAR 2010
© 2010 ASIS&T
Journal of the American Society for Information Science and Technology
Volume 61, Issue 7, pages 1386–1409, July 2010
How to Cite
Chen, C., Ibekwe-SanJuan, F. and Hou, J. (2010), The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis. J. Am. Soc. Inf. Sci., 61: 1386–1409. doi: 10.1002/asi.21309
- Issue published online: 14 JUN 2010
- Article first published online: 18 MAR 2010
- Manuscript Accepted: 13 DEC 2009
- Manuscript Revised: 8 NOV 2009
- Manuscript Received: 10 AUG 2009
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.