Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects

Kamal Badar (), Julie M. Hite and Naeem Ashraf
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Kamal Badar: University of Balochistan
Julie M. Hite: Brigham Young University
Naeem Ashraf: Lahore University of Management Sciences (LUMS)

Scientometrics, 2015, vol. 105, issue 3, No 10, 1553-1576

Abstract: Abstract This study explores the curvilinear (inverted U-shaped) association of three classical dimension of co-authorship network centrality, degree, closeness and betweenness and the research performance in terms of g-index, of authors embedded in a co-authorship network, considering formal rank of the authors as a moderator between network centrality and research performance. We use publication data from ISI Web of Science (from years 2002–2009), citation data using Publish or Perish software for years 2010–2013 and CV’s of faculty members. Using social network analysis techniques and Poisson regression, we explore our research questions in a domestic co-authorship network of 203 faculty members publishing in Chemistry and it’s sub-fields within a developing country, Pakistan. Our results reveal the curvilinear (inverted U-shaped) association of direct and distant co-authorship ties (degree centrality) with research performance with formal rank having a positive moderating role for lower ranked faculty.

Keywords: Co-authorship network; Research performance; Network centrality; Formal rank; Social network analysis; Curvilinear relationship (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (15)

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DOI: 10.1007/s11192-015-1652-0

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