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

Author

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  • 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.

Suggested Citation

  • Alireza Abbasi & Jorn Altmann, 2010. "On the Correlation between Research Performance and Social Network Analysis Measures Applied to Research Collaboration Networks," TEMEP Discussion Papers 201066, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2010.
    • Handle: RePEc:snv:dp2009:201066
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    References listed on IDEAS

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    3. 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).
    4. Fabius Abrahão Torreão Esteves & Claude Pirmez & Manuela da Silva & Carla Torreão Esteves & Andréa Torreão Esteves & Roberto Pierre Chagnon & Elton Fernandes, 2016. "Social Network Analysis as an Analytical Archetype of R&D National Networks: Case Study in Culture Collections of Brazil and Japan," Review of Social Sciences, LAR Center Press, vol. 1(5), pages 1-17, May.
    5. Li Zhai & Xiujuan Li & Xiangbin Yan & Weiguo Fan, 2014. "Evolutionary analysis of collaboration networks in the field of information systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1657-1677, December.
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    8. 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.
    9. Shamshuritawati Sharif & Maman Djauhari, 2012. "A Proposed Centrality Measure: The Case of Stocks Traded at Bursa Malaysia," Modern Applied Science, Canadian Center of Science and Education, vol. 6(10), pages 1-62, October.
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    More about this item

    Keywords

    Social Network Analysis; Co-authorship Network; Researchers' Performance.;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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