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The scaling relationship between degree centrality of countries and their citation-based performance on Management Information Systems

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  • Guillermo Armando Ronda-Pupo

    (Universidad Católica del Norte
    Universidad de Holguín)

  • J. Sylvan Katz

    (University of Sussex
    University of Saskatchewan Campus)

Abstract

The aim of this paper is to explore the power-law relationship between the degree centrality of countries and their citation-based performance in Management Information Systems research. We analyzed 27,662 articles that received 127,974 citations. The distribution of the citation-based performance follows a power law with exponent of −2.46 ± 0.05. The distribution of the centrality degree of countries follows a power law with exponent of −2.26 ± 0.24. The citation-based performance and degree centrality exhibited a power-law correlation with a scaling exponent of 1.22 ± 0.04. Citations to the articles of a country in MIS tend to increase 21.22 or 2.33 times each time it doubles its degree centrality in the international collaborative network. Policies that encourage a country to increase its degree centrality in a collaboration network can disproportionately increase the impact of its research.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:112:y:2017:i:3:d:10.1007_s11192-017-2459-y
    DOI: 10.1007/s11192-017-2459-y
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    1. J Sylvan Katz, 2016. "What Is a Complex Innovation System?," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-24, June.
    2. D. R. Amancio & M. G. V. Nunes & O. N. Oliveira & L. F. Costa, 2012. "Using complex networks concepts to assess approaches for citations in scientific papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 827-842, June.
    3. Biggiero, Lucio & Angelini, Pier Paolo, 2015. "Hunting scale-free properties in R&D collaboration networks: Self-organization, power-law and policy issues in the European aerospace research area," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 21-43.
    4. Mario Coccia & Barry Bozeman, 2016. "Allometric models to measure and analyze the evolution of international research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1065-1084, September.
    5. Staša Milojević, 2010. "Modes of collaboration in modern science: Beyond power laws and preferential attachment," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1410-1423, July.
    6. Michal Brzezinski, 2015. "Power laws in citation distributions: evidence from Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 213-228, April.
    7. Star X. Zhao & Fred Y. Ye, 2013. "Power-law link strength distribution in paper cocitation networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(7), pages 1480-1489, July.
    8. Thelwall, Mike & Wilson, Paul, 2014. "Distributions for cited articles from individual subjects and years," Journal of Informetrics, Elsevier, vol. 8(4), pages 824-839.
    9. Thelwall, Mike, 2016. "The discretised lognormal and hooked power law distributions for complete citation data: Best options for modelling and regression," Journal of Informetrics, Elsevier, vol. 10(2), pages 336-346.
    10. Wang, Mingyang & Yu, Guang & Yu, Daren, 2008. "Measuring the preferential attachment mechanism in citation networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(18), pages 4692-4698.
    11. 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.
    12. Thong Pham & Paul Sheridan & Hidetoshi Shimodaira, 2015. "PAFit: A Statistical Method for Measuring Preferential Attachment in Temporal Complex Networks," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-18, September.
    13. Peter Klimek & Aleksandar Jovanovic & Rainer Egloff & Reto Schneider, 2016. "Successful fish go with the flow: citation impact prediction based on centrality measures for term–document networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1265-1282, June.
    14. Katz, J. Sylvan, 2006. "Indicators for complex innovation systems," Research Policy, Elsevier, vol. 35(7), pages 893-909, September.
    15. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    16. Thelwall, Mike, 2016. "Are there too many uncited articles? Zero inflated variants of the discretised lognormal and hooked power law distributions," Journal of Informetrics, Elsevier, vol. 10(2), pages 622-633.
    17. Per O. Seglen, 1992. "The skewness of science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(9), pages 628-638, October.
    18. Guillermo Armando Ronda-Pupo, 2017. "The effect of document types and sizes on the scaling relationship between citations and co-authorship patterns in management journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1191-1207, March.
    19. 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.
    20. Thelwall, Mike, 2016. "Are the discretised lognormal and hooked power law distributions plausible for citation data?," Journal of Informetrics, Elsevier, vol. 10(2), pages 454-470.
    21. Katz, J. Sylvan, 1999. "The self-similar science system1," Research Policy, Elsevier, vol. 28(5), pages 501-517, June.
    22. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    23. Ye, Fred Y. & Rousseau, Ronald, 2008. "The power law model and total career h-index sequences," Journal of Informetrics, Elsevier, vol. 2(4), pages 288-297.
    24. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    25. J Sylvan Katz & Viv Cothey, 2006. "Web indicators for complex innovation systems," Research Evaluation, Oxford University Press, vol. 15(2), pages 85-95, August.
    26. Guillermo Armando Ronda-Pupo & J. Sylvan Katz, 2016. "The scaling relationship between citation-based performance and international collaboration of Cuban articles in natural sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1423-1434, June.
    27. Cimenler, Oguz & Reeves, Kingsley A. & Skvoretz, John, 2014. "A regression analysis of researchers’ social network metrics on their citation performance in a college of engineering," Journal of Informetrics, Elsevier, vol. 8(3), pages 667-682.
    28. 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.
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