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Discovering and analyzing the intellectual structure and its evolution of LIS in China, 1998–2007

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Notes

  1. This can be achieved in Network Workbench.

  2. We can get a comparatively stable result via Fruchterman–Reingold algorithm and optimize with Kamada–Kawai, which can done with Pajek. For the detailed information about this, please refer to de Nooy et al. (2004).

  3. The classification between the two data source is different, e.g., the articles on information economics are classified into information science in CSSCI, while they may be sorted to economics in SCI or other database. Although the classification difference may be small, we should explain the results between this study and Zhao and Strotmann’s prudently and carefully.

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Acknowledgments

The author would like to acknowledge Ning Ma, Yuan Wang, Yanhong Bi and Lifang Mu for the English revision of the manuscript.

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Authors and Affiliations

  1. School of Management, Shanxi University, Taiyuan, Shanxi, 030006, People’s Republic of China

    Ruimin Ma

  2. Division for Development and Planning, Shanxi University, Taiyuan, Shanxi, 030006, People’s Republic of China

    Ruimin Ma

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Ma, R. Discovering and analyzing the intellectual structure and its evolution of LIS in China, 1998–2007. Scientometrics 93, 645–659 (2012). https://doi.org/10.1007/s11192-012-0702-0

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