Tracking modularity in citation networks

Yoshiyuki Takeda; Yuya Kajikawa

doi:10.1007/s11192-010-0158-z

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Scientometrics

Volume/Issue:: Volume 83: Issue 3

Tracking modularity in citation networks

Authors:

Yoshiyuki Takeda

Yoshiyuki Takeda Chiba Institute of Technology Department of Project Management, Faculty of Social Systems Science 2-17-1 Tsudanuma Narashino Chiba 275-0016 Japan

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Yuya Kajikawa

Yuya Kajikawa The University of Tokyo Institute of Engineering Innovation, School of Engineering 2-11-16 Yayoi Bunkyo-ku Tokyo 113-8656 Japan

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Pages:: 783–792

Online Publication Date:: 28 Jan 2010

Publication Date:: 01 Jun 2010

Article Category:: Research Article

DOI:: https://doi.org/10.1007/s11192-010-0158-z

Keywords:: Citation network; Clustering quality; Modularity; Research front; Bibliometrics

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Abstract

Citation network analysis is an effective tool to analyze the structure of scientific research. Clustering is often used to visualize scientific domain and to detect emerging research front there. While we often set arbitrarily clustering threshold, there is few guide to set appropriate threshold. This study analyzed basic process how clustering of citation network proceeds by tracking size and modularity change during clustering. We found that there are three stages in clustering of citation networks and it is universal across our case studies. In the first stage, core clusters in the domain are formed. In the second stage, peripheral clusters are formed, while core clusters continue to grow. In the third stage, core clusters grow again. We found the minimum corpus size around one hundred assuring the clustering. When the corpus size is less than one hundred, clustered network structure tends to be more random. In addition even for the corpus whose size is larger than it, the clustering quality for some clusters formed in the later stage is low. These results give a fundamental guidance to the user of citation network analysis.

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Scientometrics

Print ISSN:: 0138-9130

Online ISSN:: 1588-2861

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Scientometrics
Language	English
Size	B5
Year of Foundation	1978
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ISSN	0138-9130 (Print)
ISSN	1588-2861 (Online)