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Article Dans Une Revue Journal of the American Society for Information Science and Technology Année : 2010

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

Résumé

A multiple-perspective co-citation analysis method is introduced for characterizing and interpreting the structure and dynamics of co-citation clusters. The method facilitates analytic and sense making tasks by integrating network visualization, spectral clustering, automatic cluster labeling, and text summarization. Co-citation networks are decomposed into co-citation clusters. The interpretation of these clusters is augmented by automatic cluster labeling and summarization. The method focuses on the interrelations between a co-citation 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: 1) a comparative author co-citation analysis (ACA), 2) a progressive ACA of a time series of co-citation networks, and 3) a progressive document co-citation analysis (DCA). Results show that the multiple- perspective method increases the interpretability and accountability of both ACA and DCA networks.
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Dates et versions

hal-00638091 , version 1 (03-11-2011)

Identifiants

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Chaomei Chen, Fidelia Ibekwe-Sanjuan, Jianhua Hou. The Structure and Dynamics of Co Citation Clusters: A Multiple Perspective Co-Citation Analysis.. Journal of the American Society for Information Science and Technology, 2010, 61 (7), pp.1386-1409. ⟨10.1002/asi.21309⟩. ⟨hal-00638091⟩
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