View More View Less
  • 1 Consejo Superior de Investigaciones Científicas, Centro de Ciencias Humanas y Sociales, Instituto de Políticas y Bienes Públicos, C/Albasanz, 26-28, 28037 Madrid, Spain; felix.demoya@csic.es
  • 2 SCImago Research Group, Ljubljana, Slovenia; sandra@fcnym.unlp.edu.ar
  • 3 Faculty of Social Sciences, University of Ljubljana, Kardeljeva ploscad 5, 1000, Ljubljana, Slovenia; anuska.ferligoj@fdv.uni-lj.si; luka.kronegger@fdv.uni-lj.si
  • 4 Departamento de Bibliotecología, Facultad de Humanidades y Ciencias de la Educación, Universidad Nacional de La Plata, 48 e/6 y 7. 5to piso, La Plata, Argentina
Restricted access

Abstract

The paper introduces the use of blockmodeling in the micro-level study of the internal structure of co-authorship networks over time. Variations in scientific productivity and researcher or research group visibility were determined by observing authors’ role in the core-periphery structure and crossing this information with bibliometric data. Three techniques were applied to represent the structure of collaborative science: (1) the blockmodeling; (2) the Kamada-Kawai algorithm based on the similarities in co-authorships present in the documents analysed; (3) bibliometrics to determine output volume, impact and degree of collaboration from the bibliographic data drawn from publications. The goal was to determine the extent to which the use of these two complementary approaches, in conjunction with bibliometric data, provides greater insight into the structure and characteristics of a given field of scientific endeavour. The paper describes certain features of Pajek software and how it can be used to study research group composition, structure and dynamics. The approach combines bibliometric and social network analysis to explore scientific collaboration networks and monitor individual and group careers from new perspectives. Its application on a small-scale case study is intended as an example and can be used in other disciplines. It may be very useful for the appraisal of scientific developments.

  • Barabási, AL, Albert, R. Emergence of scaling in random networks. Science 1999 286:509512 .

  • Barabási, AL, Jeong, H, Néda, Z, Ravasz, E, Schubert, A, Vicsek, T. Evolution of the social network of scientific collaborations. Physica A 2002 311:590614 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bartneck, C, Hu, J. The fruits of collaboration in a multidisciplinary field. Scientometrics 2010 85:4152 .

  • Batagelj, V, Mrvar, A 2003 Analysis and visualization of large networks M Jünger P Mutzel eds. Graph drawing software Springer Berlin 77103.

    • Search Google Scholar
    • Export Citation
  • Beaver, D. Reflections on scientific collaboration (and its study): past, present, and future. Scientometrics 2001 52:365377 .

  • Beaver, D. Does collaborative research have greater epistemic authority?. Scientometrics 2004 60 3 399408 .

  • Borgatti, SP, Everett, MG. Models of core/periphery structures. Soc Netw 1999 21:375395 .

  • Borner, K, Dall'Asta, L, Ke, W, Vespignani, A. Studying the emerging global brain: analyzing and visualizing the impact of co-authorship teams. Complexity 2005 10 4 5767 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bozeman, B, Lee, S. The impact of research collaboration on scientific productivity. Soc Stud Sci 2005 35 5 673702 .

  • Braam, R P van den Besselaar 2010 Life cycles of research groups: the case of CWTS. Res Eval 19 3 173184 .

  • Braun, T, Glänzel, W, Shubert, A. Publication and collaboration patterns of the authors of neuroscience journals. Scientometrics 2001 51:499510 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Caníbano, C, Bozeman, B. Curriculum vitae method in science policy and research evaluation: the state-of-the-art. Res Eval 2009 18 2 8694 .

  • Chinchilla-Rodríguez, Z., Benavent-Pérez, M., Miguel, S., Moya-Anegón, F. (2012). International collaboration in medical research in Latin America and the Caribbean (2003–2007). J Am Soc Inform Sci (in press).

    • Search Google Scholar
    • Export Citation
  • Chinchilla-Rodríguez, Z, Vargas-Quesada, B, Hassan-Montero, Y, González-Molina, A, Moya-Anegón, F. New approach to the visualization of international scientific collaboration. Inform Visualization 2010 9 4 277287 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Doreian, P, Batagelj, V, Ferligoj, A 2005 Generalized blockmodeling Cambridge University Press Cambridge.

  • Ferligoj, A, Doreian, P, Batagelj, V 2011 Positions and roles J Scott P Carrington eds. Sage handbook of social network analysis Sage Publications Newbury Park 434446.

    • Search Google Scholar
    • Export Citation
  • Ferligoj, A, Kronegger, L. Clustering of attribute and/or relational data. Metodoloski zvezki (Adv Methodol Stat) 2009 6 2 135153.

  • Hurd, JM. The transformation of scientific communication: a model for 2020. J Am Soc Inform Sci 2000 51 14 12791283 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Katz, JS, Martin, BR. What is research collaboration?. Res Policy 1997 26:118 .

  • Kronegger, L, Ferligoj, A, Doreian, P. On the dynamics of national scientific systems. Qual Quant 2011 45 5 9891015 .

  • Kronegger, L, Mali, F, Ferligoj, A, Doreian, P. Collaboration structures in Slovenian scientific communities. Scientometrics 2012 90:631647 .

  • Lancho-Barrantes, BS, Guerrero-Bote, VP, Chinchilla-Rodríguez, Z, Moya-Anegón, F. Citation flows in the zones of influence of scientific collaborations. J Am Soc Inform Sci Technol 2012 63 3 481489 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Laudel, G. What do we measure by co-authorship?. Res Eval 2002 11 1 315 .

  • Leydesdorff, L, Vaughan, L. Co-occurrence matrices and their applications in information science: extending ACA to the web environment. J Am Soc Inform Sci Technol 2006 57 12 16161628 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mali, F, Kronegger, L, Ferligoj, A. Co-authorship trends and collaboration patterns in the Slovenian sociological community. Corvinus J Sociol Soc Policy 2010 1 2 2950.

    • Search Google Scholar
    • Export Citation
  • Melin, G. Pragmatism and self-organization: research collaboration at the individual level. Res Policy 2000 29 1 3140 .

  • Miguel, S. (2009). Oportunidades y desafíos actuales de la investigación en Bibliotecología y Ciencia de la Información. El caso del Departamento de Bibliotecología de la Universidad Nacional de La Plata, Argentina. Información, Cultura y Sociedad, (21), 51–67. http://www.scielo.org.ar/pdf/ics/n21/n21a04.pdf.

    • Search Google Scholar
    • Export Citation
  • Miguel, S., Chinchilla-Rodríguez, Z., González, C., Moya-Anegón, F. Analysis and visualization of the dynamics of research groups through a comparative input/output perspective. Information Research (in press).

  • Moed, HF. UK research assessment exercises: informed judgments on research quality or quantity?. Scientometrics 2008 74:141149 .

  • Moody, J. The structure of a social science collaboration network: disciplinary cohesion from 1963 to 1999. Am Sociol Rev 2004 69 2 213238 .

  • Newman, MEJ. The structure of scientific collaboration networks. Proc Nat Acad Sci US 2001 98 2 404409 .

  • Newman, M. E. J. (2004). Coauthorship networks and patterns of scientific collaboration. Proc Nat Acad Sci USA, 98 (Suppl. 2), 16, 404–409.

    • Search Google Scholar
    • Export Citation
  • Newman, MEJ 2004 Who is the best connected scientist? A study of scientific coauthorship networks E Ben-Naim H Frauenfelder Z Toroczkai eds. Complex networks Springer Berlin 337370 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Onofrio, MG. The public CV database of Argentine researchers and the ‘CV-minimum’ Latin–American model of standardization of CV information for R&D evaluation and policy-making. Res Eval 2009 18 2 95103 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Perianes-Rodríguez, A, Chinchilla-Rodríguez, Z, Vargas-Quesada, B, Olmeda-Gómez, C, Moya-Anegón, F. Synthetic hybrid indicators based on scientific collaboration to quantify and evaluate individual research results. J Informetr 2009 3 2 91101 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Persson, O, Glänzel, W, Danell, R. Inflationary bibliometric values: the role of scientific collaboration and the need for relative indicators in evaluative studies. Scientometrics 2004 60 3 421432 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Price, D 1963 Little science, big science Columbia University Press New York.

  • Price, D, Beaver, D. Collaboration in an invisible college. Am Psychol 1966 21:10111018 .

  • Price, D. J. S., Gürsey, S. (1976). Studies in scientometrics. Part 1. Transience and continuance in scientific authorship. International Forum on Information and Documentation No. 1, pp. 1724.

    • Search Google Scholar
    • Export Citation
  • Shaw, D, Vaughan, L. Publication and citation patterns among LIS faculty: profiling a “typical professor”. Libr Inform Sci Res 2008 30 1 4755 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sonnenwald, D. Scientific collaborations. Annu Rev Inform Sci Technol 2007 41:643681 .

  • Wagner, CS, Leydesdorff, L. Network structure, self-organization, and the growth of international collaboration in science. Res Policy 2005 34:16081618 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Watts, DJ, Strogatz, SH. Collective dynamics of ‘small-world’ networks. Nature 1998 393:440442 .

  • White, HD. Author cocitation analysis and pearson's r. J Am Soc Inform Sci Technol 2003 54 13 12501259 .