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A measure of authors’ centrality in co-authorship networks based on the distribution of collaborative relationships

Author

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  • Haiyang Lu

    (Harbin Institute of Technology
    National TPM Center of China)

  • Yuqiang Feng

    (Harbin Institute of Technology
    National TPM Center of China)

Abstract

Although there are many measures of centrality of individuals in social networks, and those centrality measures can be applied to the analysis of authors’ importance in co-authorship networks, the distribution of an author’s collaborative relationships among different communities has not been considered. This distribution or extensity is an important aspect of authors’ activity. In the present study, we will propose a new measure termed extensity centrality, taking into account the distribution of an author’s collaborative relationships. In computing the strength of collaborative ties, which is closely related to the extensity centrality, we choose Salton’s measure. We choose the ACM SIGKDD data as our testing data set, and analyze the result of authors’ importance from different points of view.

Suggested Citation

  • Haiyang Lu & Yuqiang Feng, 2009. "A measure of authors’ centrality in co-authorship networks based on the distribution of collaborative relationships," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 499-511, November.
    • Handle: RePEc:spr:scient:v:81:y:2009:i:2:d:10.1007_s11192-008-2173-x
    DOI: 10.1007/s11192-008-2173-x
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    8. Li, Eldon Y. & Liao, Chien Hsiang & Yen, Hsiuju Rebecca, 2013. "Co-authorship networks and research impact: A social capital perspective," Research Policy, Elsevier, vol. 42(9), pages 1515-1530.
    9. Guijie Zhang & Luning Liu & Yuqiang Feng & Zhen Shao & Yongli Li, 2014. "Cext-N index: a network node centrality measure for collaborative relationship distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 291-307, October.
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    11. Chien Hsiang Liao & Mu-Yen Chen, 2018. "Exploring knowledge patterns of library and information science journals within the field: a citation analysis from 2009 to 2016," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1991-2008, December.
    12. Liao, Chien Hsiang & Yen, Hsiuju Rebecca, 2012. "Quantifying the degree of research collaboration: A comparative study of collaborative measures," Journal of Informetrics, Elsevier, vol. 6(1), pages 27-33.
    13. Eungi Kim & Eun Sil Kim, 2020. "A critical examination of international research conducted by North Korean authors: Increasing trends of collaborative research between China and North Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 429-450, July.
    14. Guijie Zhang & Luning Liu & Fangfang Wei, 2019. "Key nodes mining in the inventor–author knowledge diffusion network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 721-735, March.
    15. Georg Groh & Christoph Fuchs, 2011. "Multi-modal social networks for modeling scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 569-590, November.
    16. Jiang Li & Yueting Li, 2015. "Patterns and evolution of coauthorship in China’s humanities and social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1997-2010, March.
    17. Gang Chen & Wen-Wen Yan & Xi-Yu Wang & Qingshan Ni & Yang Xiang & Xuhu Mao & Juan-Juan Yue, 2024. "The relationship between coauthorship and the research impact of medical doctoral students: A social capital perspective," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    18. Miloš Savić & Mirjana Ivanović & Bojana Dimić Surla, 2017. "Analysis of intra-institutional research collaboration: a case of a Serbian faculty of sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 195-216, January.
    19. Guan, JianCheng & Zuo, KaiRui & Chen, KaiHua & Yam, Richard C.M., 2016. "Does country-level R&D efficiency benefit from the collaboration network structure?," Research Policy, Elsevier, vol. 45(4), pages 770-784.
    20. Sabine Brunswicker & Sorin Adam Matei & Michael Zentner & Lynn Zentner & Gerhard Klimeck, 2017. "Creating impact in the digital space: digital practice dependency in communities of digital scientific innovations," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 417-442, January.
    21. Choong Kwai Fatt & Ephrance Abu Ujum & Kuru Ratnavelu, 2010. "The structure of collaboration in the Journal of Finance," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 849-860, December.
    22. Zewen Hu & Angela Lin & Peter Willett, 2019. "Identification of research communities in cited and uncited publications using a co-authorship network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 1-19, January.

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