Authors:
Luka Kronegger Faculty of Social Sciences, University of Ljubljana, Kardeljeva ploščad 5, 1000 Ljubljana, Slovenia franc.mali@fdv.uni-lj.sianuska.ferligoj@fdv.uni-lj.si

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Franc Mali Faculty of Social Sciences, University of Ljubljana, Kardeljeva ploščad 5, 1000 Ljubljana, Slovenia franc.mali@fdv.uni-lj.sianuska.ferligoj@fdv.uni-lj.si

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Anuška Ferligoj Faculty of Social Sciences, University of Ljubljana, Kardeljeva ploščad 5, 1000 Ljubljana, Slovenia franc.mali@fdv.uni-lj.sianuska.ferligoj@fdv.uni-lj.si

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Patrick Doreian Faculty of Social Sciences, University of Ljubljana, Kardeljeva ploščad 5, 1000 Ljubljana, Slovenia franc.mali@fdv.uni-lj.sianuska.ferligoj@fdv.uni-lj.si
Department of Sociology, University of Pittsburgh, 2602 WWPH, Pittsburgh, PA 15260, USA pitpat@pitt.edu

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Abstract

We combine two seemingly distinct perspectives regarding the modeling of network dynamics. One perspective is found in the work of physicists and mathematicians who formally introduced the small world model and the mechanism of preferential attachment. The other perspective is sociological and focuses on the process of cumulative advantage and considers the agency of individual actors in a network. We test hypotheses, based on work drawn from these perspectives, regarding the structure and dynamics of scientific collaboration networks. The data we use are for four scientific disciplines in the Slovene system of science. The results deal with the overall topology of these networks and specific processes that generate them. The two perspectives can be joined to mutual benefit. Within this combined approach, the presence of small-world structures was confirmed. However preferential attachment is far more complex than advocates of a single autonomous mechanism claim.

  • Abramo, G., D’Angela, C. A., Solazzi, M. 2011 The relationship between scientist's research performance and the degree of internationalization of their research. Scientometrics 86 3 629643 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Barabási, A. L., Albert, R. 1999 Emergence of scaling in random networks. Science 286:509512 .

  • Barabási, A. L., Jeong, H., Neda, Z., Ravasz, E., Schubert, A., Vicsek, T. 2002 Evolution of the social network of scientific collaborations. Physica A: Statistical Mechanics and its Applications 311 3-4 590614 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Berg, C. 2004 Vernetzung als Syndrom Campus Verlag Frankfurt, New York.

  • Börner, K., Dall’Asta, L., Ke, W., Vespignani, A. 2005 Studying the emerging global brain: Analysing and visualizing the impact of co-autorship teams. Complexity 10 4 5767 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Garfield, E. 1979 Is citation analysis a legitimate evaluation tool?. Scientometrics 1 4 359375 .

  • Glänzel, W. C. de Lange 2002 A distributional approach to multinationality measures of international scientific collaboration. Scientometrics 54 1 7589 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hara, N., Solomon, P., Kim, S. L., Sonnenwald, D. H. 2003 An emerging view of scientific collaboration: Scientists’ perspectives on collaboration and factors that impact collaboration. Journal of the American Society for Information Science and Technology 54 10 952965 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hargens, L. L. 1975 Patterns of scientific research American Sociological Association Washington, DC.

  • Kronegger, L., Ferligoj, A., & Doreian, P. (2011). On the dynamics of national scientific systems. Quality & Quantity, 45 (5), 9891015. doi: .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kuhn, T. S. 1996 The Structure of Scientific Revolutions, 3rd edn University Of Chicago Press Chicago.

  • Merton, R. K. 1968 The matthew effect in science. Science 159:5663 .

  • Merton, R. K. 1973 Sociology of Science Chicago University Press Chicago.

  • Moody, J. 2004 The structure of a social science collaboration network: Disciplinary cohesion from 1963 to 1999. American Sociological Review 69 2 213238 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Newman, M. E. J. (2000). Small worlds: The structure of social networks. Santa Fe: Santa Fe Institute.

  • Newman, M. E. J. 2001 The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences of the United States of America 98 2 404409 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Newman, M. E. J. 2004 Co-authorship networks and patterns of scientific collaboration. Proceedings of the National Academy of Sciences of the United States of America 101 Suppl 1 52005205 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Perc, M. 2010 Growth and structure of Slovenia's scientific collaboration network. Journal of Informetrics 4:475482 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Price, D. S. 1963 Little Science, Big Science and Beyond Columbia University Press New York.

  • Price, D. S. 1965 Networks of scientific papers. Science 149:510515 .

  • Price, D. S. 1976 A general theory of bibliometric and other cumulative advantage processes. Journal of the American Society for Information Science 27 5 292306 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Robins, G. L., Woolcock, J., Pattison, P. 2005 Small and other worlds: Global network structures from local processes. American Journal of Sociology 110:894936 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rodriguez, M. A., Pepe, A. 2008 On the relationship between the structural and socioacademic communities of a co-authorship network. Journal of Informetrics 2 3 195201 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Said, Y. H., Wegman, E. J., Sharabati, W. K., Rigsby, J. 2008 Social networks of author–coauthor relationships. Computational Statistics & Data Analysis 52 4 21772184 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Snijders, T. A., Steglich, C., Schweinberger, M., & Huisman, K. (2008). Manual for SIENA Version 3.2. ICS. Groningen, Oxford: University of Groningen, Department of Statistics, University of Oxford.

    • Search Google Scholar
    • Export Citation
  • Snijders, T. A. G. G. van de Bunt Steglich, C. 2010 Introduction to stochastic actor-based models for network dynamics. Social Networks 32 1 4460 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • I. de Sola Pool Kochen, M. 1978 Contacts and influence. Social Networks 1 1 551 .

  • Travers, J., Milgram, S. 1969 An experimental study of the small world problem. Sociometry 32 4 425443 .

  • Watts, D. J., Strogatz, S. H. 1998 Collective dynamics of 'small-world’ networks. Nature 393 6684 440442 .

  • Ziman, J. 1994 Prometheus Bound Cambridge University Press Cambridge.

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Scientometrics
Language English
Size B5
Year of
Foundation
1978
Volumes
per Year
1
Issues
per Year
12
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)