The organization of scientific knowledge: the structural characteristics of keyword networks

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The understanding of scientific knowledge itself may promote further advances in science and research on the organization of knowledge may be an initiative to this effort. This stream of research, however, has been mainly driven by the analysis of citation networks. This study uses, as an alternative knowledge element, information on the keywords of papers published in business research and examines how they are associated with each other to constitute a body of scientific knowledge. The results show that, unlike most citation networks, keyword networks are not small-word networks but, rather, locally clustered scale-free networks with a hierarchic structure. These structural patterns are robust against the scope of scientific fields involved. In addition, this paper discusses the origins and implications of the identified structural characteristics of keyword networks.
Publisher
SPRINGER
Issue Date
2012-03
Language
English
Article Type
Article
Keywords

PATENT CITATION NETWORK; COMPLEX NETWORKS; MODULARITY; MANAGEMENT; EVOLUTION; DESIGN

Citation

SCIENTOMETRICS, v.90, no.3, pp.1015 - 1026

ISSN
0138-9130
DOI
10.1007/s11192-011-0560-1
URI
http://hdl.handle.net/10203/214868
Appears in Collection
RIMS Journal Papers
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