期刊
JOURNAL OF INFORMETRICS
卷 4, 期 4, 页码 629-635出版社
ELSEVIER
DOI: 10.1016/j.joi.2010.07.002
关键词
Bibliometric map; Clustering; Mapping; Unified approach
In the analysis of bibliometric networks, researchers often use mapping and clustering techniques in a combined fashion. Typically, however, mapping and clustering techniques that are used together rely on very different ideas and assumptions. We propose a unified approach to mapping and clustering of bibliometric networks. We show that the VOS mapping technique and a weighted and parameterized variant of modularity-based clustering can both be derived from the same underlying principle. We illustrate our proposed approach by producing a combined mapping and clustering of the most frequently cited publications that appeared in the field of information science in the period 1999-2008. (C) 2010 Elsevier Ltd. All rights reserved.
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