Detecting emerging research fronts in regenerative medicine by the citation network analysis of scientific publications

被引：109

作者：

Shibata, Naoki ^{[1
]}

Kajikawa, Yuya ^{[1
]}

Takeda, Yoshiyuki ^{[2
]}

Sakata, Ichiro ^{[3
]}

Matsushima, Katsumori ^{[1
]}

机构：

[1] Univ Tokyo, Sch Engn, Innovat Policy Res Ctr, Bunkyo Ward, Tokyo 1138656, Japan

[2] Chiba Inst Technol, Fac Social Syst Sci, Dept Project Management, Narashino, Chiba 2750016, Japan

[3] Univ Tokyo, Todai Policy Alternat Res Inst, Bunkyo Ward, Tokyo 1130033, Japan

来源：

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | 2011年 / 78卷 / 02期

关键词：

Citation analysis; Emerging topic detection; Research front; Regenerative medicine; Embryonic stem cells; Induced pluripotent stem cells; SCIENCE;

D O I：

10.1016/j.techfore.2010.07.006

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In this paper, we detect emerging research fronts in a huge number of academic papers related to regenerative medicine, a field of radically innovative research. We divide citation networks into clusters using the topological clustering method, track the positions of papers in each cluster, and visualize citation networks with characteristic terms for each cluster. Analyzing the clustering results with the average published year and parent-child relationship of each cluster could be helpful in detecting recent trends. In addition, tracking topological measures, within-cluster degree z and participation coefficient P. enables us to determine whether there are emerging knowledge clusters. Our results show the success of our method in detecting emerging research fronts in regenerative medicine, and these results are confirmed as reasonable by experts. Finally, we predict the future core papers, with the potential of many citations, via the betweenness centralities in the citation network of the research into adult and somatic stem cells. (C) 2010 Elsevier Inc. All rights reserved.

引用

页码：274 / 282

页数：9

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