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 

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