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Identification of research communities in cited and uncited publications using a co-authorship network

Author

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  • Zewen Hu

    () (Nanjing University of Information Science and Technology
    University of Sheffield)

  • Angela Lin

    (University of Sheffield)

  • Peter Willett

    (University of Sheffield)

Abstract

Patterns of co-authorship provide an effective means of probing the structures of research communities. In this paper, we use the CiteSpace social network tool and co-authorship data from the Web of Science to analyse two such types of community. The first type is based on the cited publications of a group of highly productive authors in a particular discipline, and the second on the uncited publications of those highly productive authors. These pairs of communities were generated for three different countries—the People’s Republic of China (PRC), the United Kingdom (UK) and the United States of America (USA)—and for four different disciplines (as denoted by Web of Science subject categories)—Chemistry Organic, Engineering Environmental, Economics, and Management. In the case of the UK and USA, the structures of the cited and uncited communities in each of the four disciplines were markedly different from each other; in the case of the PRC, conversely, the cited and uncited PRC communities had broadly similar structures that were characterised by large groups of connected authors. We suggest that this may arise from a greater degree of guest or honorary authorship in the PRC than in the UK or the USA.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:scient:v:118:y:2019:i:1:d:10.1007_s11192-018-2954-9
    DOI: 10.1007/s11192-018-2954-9
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    References listed on IDEAS

    as
    1. Li Tang & Philip Shapira & Jan Youtie, 2015. "Is there a clubbing effect underlying Chinese research citation Increases?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(9), pages 1923-1932, September.
    2. Chaomei Chen & Fidelia Ibekwe‐SanJuan & Jianhua Hou, 2010. "The structure and dynamics of cocitation clusters: A multiple‐perspective cocitation analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(7), pages 1386-1409, July.
    3. Clara Calero & Renald Buter & Cecilia Cabello Valdés & Ed Noyons, 2006. "How to identify research groups using publication analysis: an example in the field of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 365-376, February.
    4. Xianwen Wang & Shenmeng Xu & Di Liu & Yongxia Liang, 2012. "The role of Chinese–American scientists in China–US scientific collaboration: a study in nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 737-749, June.
    5. Slavo Radosevic & Esin Yoruk, 2014. "Are there global shifts in the world science base? Analysing the catching up and falling behind of world regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1897-1924, December.
    6. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    7. M.H. MacRoberts & B.R. MacRoberts, 2010. "Problems of citation analysis: A study of uncited and seldom-cited influences," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(1), pages 1-12, January.
    8. Per O. Seglen & Dag W. Aksnes, 2000. "Scientific Productivity and Group Size: A Bibliometric Analysis of Norwegian Microbiological Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 125-143, August.
    9. A. Pudovkin & H. Kretschmer & J. Stegmann & E. Garfield, 2012. "Research evaluation. Part I: productivity and citedness of a German medical research institution," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 3-16, October.
    10. Xianwen Wang & Shenmeng Xu & Zhi Wang & Lian Peng & Chuanli Wang, 2013. "International scientific collaboration of China: collaborating countries, institutions and individuals," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 885-894, June.
    11. M.H. MacRoberts & B.R. MacRoberts, 2010. "Problems of citation analysis: A study of uncited and seldom‐cited influences," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(1), pages 1-12, January.
    12. Hu, Zewen & Wu, Yishan, 2014. "Regularity in the time-dependent distribution of the percentage of never-cited papers: An empirical pilot study based on the six journals," Journal of Informetrics, Elsevier, vol. 8(1), pages 136-146.
    13. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    14. Burrell, Quentin L., 2013. "A stochastic approach to the relation between the impact factor and the uncitedness factor," Journal of Informetrics, Elsevier, vol. 7(3), pages 676-682.
    15. Antonio Perianes-Rodríguez & Carlos Olmeda-Gómez & Félix Moya-Anegón, 2010. "Detecting, identifying and visualizing research groups in co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 307-319, February.
    16. Mark R. Elkins & Christopher G. Maher & Robert D. Herbert & Anne M. Moseley & Catherine Sherrington, 2010. "Correlation between the Journal Impact Factor and three other journal citation indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 81-93, October.
    17. Marjan Cugmas & Anuška Ferligoj & Luka Kronegger, 2016. "The stability of co-authorship structures," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 163-186, January.
    18. Patrick Doreian & Anuška Ferligoj & Luka Kronegger, 2011. "On the dynamics of national scientific systems: a reply," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1025-1029, August.
    19. Zewen Hu & Yishan Wu & Jianjun Sun, 2018. "A quantitative analysis of determinants of non-citation using a panel data model," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 843-861, August.
    20. Erjia Yan & Ying Ding, 2009. "Applying centrality measures to impact analysis: A coauthorship network analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(10), pages 2107-2118, October.
    21. Natsuo Onodera & Fuyuki Yoshikane, 2015. "Factors affecting citation rates of research articles," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(4), pages 739-764, April.
    22. Thelwall, Mike & Wilson, Paul, 2014. "Regression for citation data: An evaluation of different methods," Journal of Informetrics, Elsevier, vol. 8(4), pages 963-971.
    23. Javier Luis Cánovas Izquierdo & Valerio Cosentino & Jordi Cabot, 2016. "Analysis of co-authorship graphs of CORE-ranked software conferences," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1665-1693, December.
    24. Craig, Iain D. & Plume, Andrew M. & McVeigh, Marie E. & Pringle, James & Amin, Mayur, 2007. "Do open access articles have greater citation impact?," Journal of Informetrics, Elsevier, vol. 1(3), pages 239-248.
    25. Luka Kronegger & Anuška Ferligoj & Patrick Doreian, 2011. "On the dynamics of national scientific systems," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 989-1015, August.
    26. Massimo Franceschet, 2011. "Collaboration in computer science: A network science approach," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1992-2012, October.
    27. Chaomei Chen & Fidelia Ibekwe-SanJuan & Jianhua Hou, 2010. "The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1386-1409, July.
    28. Richard E. Stern, 1990. "Uncitedness in the biomedical literature," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(3), pages 193-196, April.
    29. Annamária Inzelt & András Schubert & Mihály Schubert, 2009. "Incremental citation impact due to international co-authorship in Hungarian higher education institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 37-43, January.
    30. 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.
    31. Maaike Verbree & Edwin Horlings & Peter Groenewegen & Inge Weijden & Peter Besselaar, 2015. "Organizational factors influencing scholarly performance: a multivariate study of biomedical research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 25-49, January.
    32. Gangan Prathap, 2013. "Second order indicators for evaluating international scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 563-570, May.
    33. Massimo Franceschet, 2011. "Collaboration in computer science: A network science approach," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1992-2012, October.
    34. Liang, Liming & Zhong, Zhen & Rousseau, Ronald, 2015. "Uncited papers, uncited authors and uncited topics: A case study in library and information science," Journal of Informetrics, Elsevier, vol. 9(1), pages 50-58.
    35. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    36. Lili Wang & Xianwen Wang & Niels J. Philipsen, 2017. "Network structure of scientific collaborations between China and the EU member states," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 765-781, November.
    37. Leonardo Reyes-Gonzalez & Claudia N. Gonzalez-Brambila & Francisco Veloso, 2016. "Using co-authorship and citation analysis to identify research groups: a new way to assess performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1171-1191, September.
    38. Jia Zhu & Saeed-Ul Hassan & Hamid Turab Mirza & Qing Xie, 2014. "Measuring recent research performance for Chinese universities using bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 429-443, October.
    39. L. Egghe, 2010. "The distribution of the uncitedness factor and its functional relation with the impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 689-695, June.
    40. Svein Kyvik & Ingvild Reymert, 2017. "Research collaboration in groups and networks: differences across academic fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 951-967, November.
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    Cited by:

    1. Jie Gao & Xinping Huang & Lili Zhang, 2019. "Comparative Analysis between International Research Hotspots and National-Level Policy Keywords on Artificial Intelligence in China from 2009 to 2018," Sustainability, MDPI, Open Access Journal, vol. 11(23), pages 1-1, November.

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