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On the Correlation between Research Performance and Social Network Analysis Measures Applied to Research Collaboration Networks

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Author Info

  • Alireza Abbasi

    ()
    (Technology Management, Economics, and Policy Program (TEMEP), Seoul National University)

  • Jorn Altmann

    ()
    (Technology Management, Economics, and Policy Program (TEMEP), Seoul National University)

Abstract

In this study, we develop a theoretical model based on social network theory to understand how the collaboration (co-authorship) network of scholars correlates to the research performance of scholars. For this analysis, we use social network analysis (SNA) measures (i.e., normalized closeness centrality, normalized betweenness centrality, efficiency, and two types of degree centrality). The analysis of data shows that the research performance of scholars is positively correlated with two SNA measures (i.e., weighted degree centrality and efficiency). In particular, scholars with strong ties (i.e., repeated co-authorships, i.e., high weighted degree centrality) show a better research performance than those with low ties (e.g., single co-authorships with many different scholars). The results related to efficiency show that scholars, who maintain a strong co-authorship relationship to only one co-author of a group of linked co-authors (i.e., co-authors that have joined publications), perform better than those researchers with many relationships to the same group of linked co-authors.

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File URL: ftp://147.46.237.98/DP-66.pdf
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Bibliographic Info

Paper provided by Seoul National University; Technology Management, Economics, and Policy Program (TEMEP) in its series TEMEP Discussion Papers with number 201066.

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Length: 21 pages
Date of creation: Oct 2010
Date of revision: Oct 2010
Publication status: Published in Hicss44, Hawaii International Conference on System Sciences, January 2011
Handle: RePEc:snv:dp2009:201066

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Keywords: Social Network Analysis; Co-authorship Network; Researchers' Performance.;

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References

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  1. Kibae Kim & Jorn Altmann & Junseok Hwang, 2010. "An Analysis of the Openness of the Web2.0 Service Network Based on Two Sets of Indices for Measuring the Impact of Service Ownership," TEMEP Discussion Papers 201067, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2010.
  2. Alireza Abbasi & Jorn Altmann & Junseok Hwang, 2009. "Evaluating Scholars Based on their Academic Collaboration Activities: The RC-Index and CC-Index for Quantifying Collaboration Activities of Researchers and Scientific Communities," TEMEP Discussion Papers 200915, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2009.
  3. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
  4. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
  5. Frances Ruane & Richard S.J. Tol, 2007. "Refined (Successive) H-Indices: An Application To Economics In The Republic Of Ireland," Working Papers FNU-130, Research unit Sustainability and Global Change, Hamburg University, revised Mar 2007.
  6. Owen-Smith, Jason & Riccaboni, Massimo & Pammolli, Fabio & Powell, Walter W., 2002. "A Comparison of U.S. and European University-Industry Relations in the Life Sciences," MPRA Paper 15963, University Library of Munich, Germany.
  7. Daniel Z. Levin & Rob Cross, 2004. "The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer," Management Science, INFORMS, vol. 50(11), pages 1477-1490, November.
  8. Melin, Goran, 2000. "Pragmatism and self-organization: Research collaboration on the individual level," Research Policy, Elsevier, vol. 29(1), pages 31-40, January.
  9. Kibae Kim & Jorn Altmann & Junseok Hwang, 2010. "Measuring and Analyzing the Openness of the Web2.0 Service Network for Improving the Innovation Capacity of the Web2.0 System through Collective Intelligence," TEMEP Discussion Papers 201057, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Mar 2010.
  10. Jorn Altmann & Alireza Abbasi & Junseok Hwang, 2010. "Evaluating the Productivity of Researchers and their Communities: The RP-Index and the CP-Index," TEMEP Discussion Papers 201048, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
  11. Alireza Abbasi & Jorn Altmann, 2010. "A Social Network System for Analyzing Publication Activities of Researchers," TEMEP Discussion Papers 201058, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Apr 2010.
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Citations

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Cited by:
  1. Alireza Abbasi & Jorn Altmann & Liaquat Hossain, 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," TEMEP Discussion Papers 201176, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jun 2011.
  2. Krogmann, Yin & Riedel, Nadine & Schwalbe, Ulrich, 2013. "Inter-firm R&D networks in pharmaceutical biotechnology: What determines firm's centrality-based partnering capability," FZID Discussion Papers 75-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).

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