Research on overlapping structures and evolution properties of co-citation network
CHEN Shiji; ZHANG Xiaolin; Chen Shiji (E-mail:chensj@vip.sohu.com)
2013-03-25
发表期刊Chinese Journal of Library and Information Science
ISSN1674-3393
卷号6期号:1页码:1-13
摘要

Purpose: This paper intends to explore methodologies and indicators for the analysis of overlapping structures and evolution properties in a co-citation network, and provide reference for overlapping structure analysis of other scientific networks.

Design/methodology/approach: The Q-value variance is defined to achieve overlapping structures of different levels in the scientific networks. At the same time, analyses for time correlation variance and subject correlation variance are used to present the formation of overlapping structures in scientific networks. As a test, a co-citation network of highly cited papers on Molecular Biology & Genetics from Essential Science Indicator (ESI) is taken as an example for an empirical analysis.

Findings: Our research showed that the Q-value variance is effective for achieving the desired overlapping structures. Meanwhile, the time correlation variance and subject correlation variance are equally useful for uncovering the evolution progress of scientific research, and the properties of overlapping structures in the research of co-citation network as well.

Research limitations: In this paper, the theoretical analysis and verification of time and subject correlation variances are still at its initial stage. Further studies in this regard need to take actual evolution of research areas into consideration.

Practical implications: Evolution properties of overlapping structures pave the way for overlapping and evolution analysis of disciplines or areas, this study is of practical value for the planning of scientific and technical innovation.

Originality/value: This paper proposes an analytical method of time correlation variance and subject correlation variance based on the evolution properties of overlapping structures, which would provide the foundation for the evolution analysis of disciplines and interdisciplinary research.

;

Purpose: This paper intends to explore methodologies and indicators for the analysis of overlapping structures and evolution properties in a co-citation network, and provide reference for overlapping structure analysis of other scientific networks.

Design/methodology/approach: The Q-value variance is defined to achieve overlapping structures of different levels in the scientific networks. At the same time, analyses for time correlation variance and subject correlation variance are used to present the formation of overlapping structures in scientific networks. As a test, a co-citation network of highly cited papers on Molecular Biology & Genetics from Essential Science Indicator (ESI) is taken as an example for an empirical analysis.

Findings: Our research showed that the Q-value variance is effective for achieving the desired overlapping structures. Meanwhile, the time correlation variance and subject correlation variance are equally useful for uncovering the evolution progress of scientific research, and the properties of overlapping structures in the research of co-citation network as well.

Research limitations: In this paper, the theoretical analysis and verification of time and subject correlation variances are still at its initial stage. Further studies in this regard need to take actual evolution of research areas into consideration.

Practical implications: Evolution properties of overlapping structures pave the way for overlapping and evolution analysis of disciplines or areas, this study is of practical value for the planning of scientific and technical innovation.

Originality/value: This paper proposes an analytical method of time correlation variance and subject correlation variance based on the evolution properties of overlapping structures, which would provide the foundation for the evolution analysis of disciplines and interdisciplinary research.

关键词Overlapping Structure Co-citation Network q-value Variance Time Correlation Variance Subject Correlation Variance
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项目资助者This work is supported by the National Science Library of Chinese Academy of Sciences.
文献类型期刊论文
条目标识符http://ir.las.ac.cn/handle/12502/6147
专题Journal of Data and Information Science_Chinese Journal of Library and Information Science-2013
通讯作者Chen Shiji (E-mail:chensj@vip.sohu.com)
推荐引用方式
GB/T 7714
CHEN Shiji,ZHANG Xiaolin,Chen Shiji . Research on overlapping structures and evolution properties of co-citation network[J]. Chinese Journal of Library and Information Science,2013,6(1):1-13.
APA CHEN Shiji,ZHANG Xiaolin,&Chen Shiji .(2013).Research on overlapping structures and evolution properties of co-citation network.Chinese Journal of Library and Information Science,6(1),1-13.
MLA CHEN Shiji,et al."Research on overlapping structures and evolution properties of co-citation network".Chinese Journal of Library and Information Science 6.1(2013):1-13.
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