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Mapping library and information science in China: a coauthorship network analysis

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Listed:
  • Erjia Yan

    () (Indiana University)

  • Ying Ding

    (Indiana University)

  • Qinghua Zhu

    (Nanjing University)

Abstract

This paper aims to identify the collaboration pattern and network structure of the coauthorship network of library and information science (LIS) in China. Using data from 18 core source LIS journals in China covering 6 years, we construct the LIS coauthorship network. We analyze the network from both macro and micro perspectives and identify some key features of this network: this network is a small-world network, and follows the scale-free character. In the micro-level, we calculate each author’s centrality values and compare them with citation counts. We find that centrality rankings are highly correlated with citation rankings. We also discuss the limitation of current centrality measures for coauthorship network analysis.

Suggested Citation

  • Erjia Yan & Ying Ding & Qinghua Zhu, 2010. "Mapping library and information science in China: a coauthorship network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 115-131, April.
  • Handle: RePEc:spr:scient:v:83:y:2010:i:1:d:10.1007_s11192-009-0027-9
    DOI: 10.1007/s11192-009-0027-9
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    References listed on IDEAS

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    Cited by:

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    14. A. Abrizah & Mohammadamin Erfanmanesh & Vala Ali Rohani & Mike Thelwall & Jonathan M. Levitt & Fereshteh Didegah, 2014. "Sixty-four years of informetrics research: productivity, impact and collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 569-585, October.
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