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Power‐law link strength distribution in paper cocitation networks

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  • Star X. Zhao
  • Fred Y. Ye

Abstract

A network is constructed by nodes and links, thus the node degree and the link strength appear as underlying quantities in network analysis. While the power‐law distribution of node degrees is verified as a basic feature of numerous real networks, we investigate whether the link strengths follow the power‐law distribution in weighted networks. After testing 12 different paper cocitation networks with 2 methods, fitting in double‐log scales and the Kolmogorov‐Smirnov test (K‐S test), we observe that, in most cases, the link strengths also follow the approximate power‐law distribution. The results suggest that the power‐law type distribution could emerge not only in nodes and informational entities, but also in links and informational connections.

Suggested Citation

  • Star X. Zhao & Fred Y. Ye, 2013. "Power‐law link strength distribution in paper cocitation networks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(7), pages 1480-1489, July.
  • Handle: RePEc:bla:jamist:v:64:y:2013:i:7:p:1480-1489
    DOI: 10.1002/asi.22846
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    Cited by:

    1. Star X. Zhao & Shuang Yu & Alice M. Tan & Xin Xu & Haiyan Yu, 2016. "Global pattern of science funding in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 463-479, October.
    2. Guillermo Armando Ronda-Pupo & J. Sylvan Katz, 2018. "The power law relationship between citation impact and multi-authorship patterns in articles in Information Science & Library Science journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 919-932, March.
    3. Jean J. Wang & Sarah X. Shao & Fred Y. Ye, 2021. "Identifying 'seed' papers in sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6001-6011, July.
    4. Guillermo Armando Ronda-Pupo & J. Sylvan Katz, 2017. "The scaling relationship between degree centrality of countries and their citation-based performance on Management Information Systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1285-1299, September.
    5. Guillermo Armando Ronda-Pupo, 2017. "The citation-based impact of complex innovation systems scales with the size of the system," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 141-151, July.

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