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

Guillermo Armando Ronda-Pupo () and J. Sylvan Katz ()
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Guillermo Armando Ronda-Pupo: Universidad Católica del Norte
J. Sylvan Katz: University of Sussex

Scientometrics, 2017, vol. 112, issue 3, No 7, 1285-1299

Abstract: 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.

Keywords: Allometry; Co-authorship: collaboration; Cooperation; Complex innovation systems; Complex networks; Degree centrality; Power-law; Scale independent; Scale-free; Self-similar (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11192-017-2459-y

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