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Factors influencing the formation of intra-institutional formal research groups: group prediction from collaboration, organisational, and topical networks

Author

Listed:
  • Hector G. Ceballos

    (Tecnologico de Monterrey)

  • Sara E. Garza

    (Universidad Autónoma de Nuevo León (UANL))

  • Francisco J. Cantu

    (Tecnologico de Monterrey)

Abstract

The factors that foster successful scientific collaboration and teamwork have been studied extensively. However, these factors have been studied in isolation and it is not clear to what extent one factor is more relevant than other in the formation of research groups. In this work we propose a new methodology based on network analysis to simultaneously evaluate multiple factors considered relevant in the conformation of formal research groups. Our methodology is supported on structural, statistical, and correlation analysis. In addition to validating our methodology with a case study at a research-teaching university, we introduce a new network to represent the success of scientific collaboration that produces the best prediction in group formation. Our methodology and the results obtained can be used for organising researchers in a university that seeks to strengthen its research strategy.

Suggested Citation

  • Hector G. Ceballos & Sara E. Garza & Francisco J. Cantu, 2018. "Factors influencing the formation of intra-institutional formal research groups: group prediction from collaboration, organisational, and topical networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 181-216, January.
    • Handle: RePEc:spr:scient:v:114:y:2018:i:1:d:10.1007_s11192-017-2561-1
    DOI: 10.1007/s11192-017-2561-1
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    More about this item

    Keywords

    Scientific collaboration; Network analysis; Graph clustering; Research groups; Complex networks;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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