Shibata, N; Kajikawa, Y; Takeda, Y; Matsushima, K Detecting emerging research fronts based on topological measures in citation networks of scientific publications TECHNOVATION, 28 (11): 758-775 NOV 2008
Eugene Garfield
garfield at CODEX.CIS.UPENN.EDU
Tue Dec 9 15:59:02 EST 2008
E-mail Address: kaji at biz-model.t.u-tokyo.ac.jp
Author(s): Shibata, N (Shibata, Naoki); Kajikawa, Y (Kajikawa, Yuya);
Takeda, Y (Takeda, Yoshiyuki); Matsushima, K (Matsushima, Katsumori)
Title: Detecting emerging research fronts based on topological measures in
citation networks of scientific publications
Source: TECHNOVATION, 28 (11): 758-775 NOV 2008
Language: English
Document Type: Article
Author Keywords: R&D management; Research front; Bibliometrics; Citation
network; Topological clustering
Keywords Plus: AIN BUFFER LAYER; INTELLECTUAL PROPERTY; TECHNOLOGY
MANAGEMENT; DOMAIN VISUALIZATION; BIBLIOMETRIC METHODS; PRODUCTIVITY
GROWTH; KNOWLEDGE DOMAIN; FUTURE-PROSPECTS; ECONOMIC GROWTH; SCIENCE MAPS
Abstract: In this paper, we performed a comparative study in two research
domains in order to develop a method of detecting emerging knowledge
domains. The selected domains are research on gallium nitride (GaN) and
research on complex networks, which represent recent examples of
innovative research. We divided citation networks into clusters using the
topological clustering method, tracked the positions of papers in each
cluster, and visualized citation networks with characteristic terms for
each cluster. Analyzing the clustering results with the average age and
parent-children relationship of each cluster may be helpful in detecting
emergence. In addition, topological measures, within-cluster degree z and
participation coefficient P, succeeded in determining whether there are
emerging knowledge clusters. There were at least two types of development
of knowledge domains. One is incremental innovation as in GaN and the
other is branching innovation as in complex networks. In the domains where
incremental innovation occurs, papers changed their position to large z
and large P. On the other hand, in the case of branching innovation, they
moved to a position with large z and small P, because there is a new
emerging cluster, and active research centers shift rapidly. Our results
showed that topological measures are beneficial in detecting branching
innovation in the citation network of scientific publications. (C) 2008
Elsevier Ltd. All rights reserved.
Addresses: [Shibata, Naoki; Kajikawa, Yuya; Takeda, Yoshiyuki; Matsushima,
Katsumori] Univ Tokyo, Inst Engn Innovat, Sch Engn, Bunkyo Ku, Tokyo
1138656, Japan
Reprint Address: Kajikawa, Y, Univ Tokyo, Inst Engn Innovat, Sch Engn,
Bunkyo Ku, 2-11-16 Yayoi, Tokyo 1138656, Japan.
E-mail Address: kaji at biz-model.t.u-tokyo.ac.jp
Cited Reference Count: 68
Times Cited: 0
Publisher: ELSEVIER SCIENCE BV
Publisher Address: PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN: 0166-4972
DOI: 10.1016/j.technovation.2008.03.009
29-char Source Abbrev.: TECHNOVATION
ISO Source Abbrev.: Technovation
Source Item Page Count: 18
Subject Category: Engineering, Industrial; Management; Operations Research
& Management Science
ISI Document Delivery No.: 363TK
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