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Detecting, identifying and visualizing research groups in co-authorship networks


  • Antonio Perianes-Rodríguez

    () (Carlos III University of Madrid
    University of Granada)

  • Carlos Olmeda-Gómez

    (Carlos III University of Madrid
    University of Granada)

  • Félix Moya-Anegón

    (University of Granada
    University of Granada)


The present paper proposes a method for detecting, identifying and visualizing research groups. The data used refer to nine Carlos III University of Madrid departments, while the findings for the Communication Technologies Department illustrate the method. Structural analysis was used to generate co-authorship networks. Research groups were identified on the basis of factorial analysis of the raw data matrix and similarities in the choice of co-authors. The resulting networks distinguished the researchers participating in the intra-departmental network from those not involved and identified the existing research groups. Fields of research were characterized by the Journal of Citation Report subject category assigned to the bibliographic references cited in the papers written by the author-factors. The results, i.e., the graphic displays of the structures of the socio-centric and co-authorship networks and the strategies underlying collaboration among researchers, were later discussed with the members of the departments analyzed. The paper constitutes a starting point for understanding and characterizing networking within research institutions.

Suggested Citation

  • Antonio Perianes-Rodríguez & Carlos Olmeda-Gómez & Félix Moya-Anegón, 2010. "Detecting, identifying and visualizing research groups in co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 307-319, February.
  • Handle: RePEc:spr:scient:v:82:y:2010:i:2:d:10.1007_s11192-009-0040-z
    DOI: 10.1007/s11192-009-0040-z

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    References listed on IDEAS

    1. E. C. M. Noyons & H. F. Moed & A. F. J. Raan, 1999. "Integrating research performance analysis and science mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 591-604, November.
    2. Clara Calero & Renald Buter & Cecilia Cabello Valdés & Ed Noyons, 2006. "How to identify research groups using publication analysis: an example in the field of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 365-376, February.
    3. Ying Ding & Gobinda G. Chowdhury & Schubert Foo, 2000. "Journal as Markers of Intellectual Space: Journal Co-Citation Analysis of Information Retrieval Area, 1987–1997," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(1), pages 55-73, January.
    4. Etzkowitz, Henry, 2003. "Research groups as 'quasi-firms': the invention of the entrepreneurial university," Research Policy, Elsevier, vol. 32(1), pages 109-121, January.
    5. Per O. Seglen & Dag W. Aksnes, 2000. "Scientific Productivity and Group Size: A Bibliometric Analysis of Norwegian Microbiological Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 125-143, August.
    6. Félix Moya-Anegón & Benjamín Vargas-Quesada & Victor Herrero-Solana & Zaida Chinchilla-Rodríguez & Elena Corera-Álvarez & Francisco J. Munoz-Fernández, 2004. "A new technique for building maps of large scientific domains based on the cocitation of classes and categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(1), pages 129-145, September.
    7. Grit Laudel, 2002. "What do we measure by co-authorships?," Research Evaluation, Oxford University Press, vol. 11(1), pages 3-15, April.
    8. M Bordons & M A Zulueta & A Cabrero & S Barrigón, 1995. "Research performance at the micro level: analysis of structure and dynamics of pharmacological research teams," Research Evaluation, Oxford University Press, vol. 5(2), pages 137-142, August.
    9. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
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    Cited by:

    1. Fernando Martín-Alcázar & Marta Ruiz-Martínez & Gonzalo Sánchez-Gardey, 2019. "Assessing social capital in academic research teams: a measurement instrument proposal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 917-935, November.
    2. Zewen Hu & Angela Lin & Peter Willett, 2019. "Identification of research communities in cited and uncited publications using a co-authorship network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 1-19, January.

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