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Evaluation Of Effects Of Collaborative Patterns On The Efficiency Of Scientific Networks Using Simulation

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  • DORSA TAJADDOD ALIZADEH

    (Department of Mechanical and Industrial Engineering, Concordia University, 1455 De Maisonneuve Blvd. W., Montréal, QC. H3G 1M8, Canada)

  • ANDREA SCHIFFAUEROVA

    (Concordia Institute for Information Systems Engineering, Concordia University, 1455 De Maisonneuve Blvd. W., Montréal, QC. H3G 1M8, Canada)

Abstract

The objective of this work is to investigate the role of individual scientists and their collaborations in knowledge creation networks. In order to study the networks in their dynamic context, an agent-based simulation model is developed using real data based on the Canadian biotechnology publications. We observe that while the repetitiveness of the collaborative relationships among scientists shows negative effects, the presence of the gatekeepers is found to be critical for the overall efficiency of the network. We also find positive impact of star scientists on the network productivity, but their negative effects on the flow of knowledge are detected as well.

Suggested Citation

  • Dorsa Tajaddod Alizadeh & Andrea Schiffauerova, 2018. "Evaluation Of Effects Of Collaborative Patterns On The Efficiency Of Scientific Networks Using Simulation," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(04), pages 1-28, May.
    • Handle: RePEc:wsi:ijimxx:v:22:y:2018:i:04:n:s1363919618500354
    DOI: 10.1142/S1363919618500354
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