Scientific collaboration dynamics in a national scientific system

Scientometrics

Volumn 104, Issue 3, 2015, Pages 985-1012

  Ferligoj, Anuška ^a   Kronegger, Luka ^a   Mali, Franc ^a   Snijders, Tom A B ^b,c   Doreian, Patrick ^a,d  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b UNIVERSITY OF GRONINGEN   (Netherlands)

^c UNIVERSITY OF OXFORD   (United Kingdom)

^d UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

Bibliometry; Cluster analysis; Co authorship networks; Network dynamics; Preferential attachment; Scientific collaboration; SIENA; Small world; Stochastic actor based model

Indexed keywords

EID: 84938744137     PISSN: 01389130     EISSN: 15882861     Source Type: Journal    
DOI: 10.1007/s11192-015-1585-7     Document Type: Article

References (39)

1. Abbasi, A., Hossain, L., & Leydesdorff, L. (2012). Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks. Journal of Infometrics, 6(3), 403–412.
2. Barabási, A. L. (2002). Linked: The new science of networks (1st ed.). New York: Basic Books.
3. Barabási, A. L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286, 509–512.
4. Çavuşoğlu, A., & Türker, I. (2013). Scientific collaboration network of Turkey. Chaos, Solutions and Fractals, 57, 9–18. doi:10.1016/j.chaos.2013.07.022.
5. Çavuşoğlu, A., & Türker, I. (2014). Patterns of collaboration in four scientific disciplines of the Turkish collaboration network. Physica A: Statistical Mechanics and its Applications, 413, 220–229. doi:10.1016/j.physa.2014.06.069.
6. de Sola Pool, I., & Kochen, M. (1978). Contacts and influence. Social Networks, 1(1), 5–51.
7. De Stefano, D., Giordano, G., & Vitale, M. (2011). Issues in the analysis of co-authorship networks. Quality & Quantity, 45(5), 1091–1107. doi:10.1007/s11135-011-9493-2.
8. Ferligoj, A., & Kronegger, L. (2009). Clustering of attribute and/or relational data. Metodološki Zvezki (Advances in Methodology and Statistics), 6(2), 135–153.
9. Garfield, E., & Merton, R. K. (1979). Citation indexing: Its theory and application in science, technology, and humanities. New York: Wiley.
10. Groboljšek, B., Ferligoj, A., Mali, F., Kronegger, L., & Iglič, H. (2014). The role and significance of scientific collaboration for the new emerging sciences: The case of Slovenia. Teorija in praksa, 51(5), 864–883.
11. Iglič, H., Kronegger, L., Ferligoj, A., & Doreian, P. (2015). Forms and sources of research collaboration: Evidence across four scientific disciplines. Submitted.
12. Indlekofer, N., & Brandes, U. (2013). Relative importance of effects in stochastic actor-oriented models. Network Science, 1(3), 278–304.
13. Kronegger, L., Ferligoj, A., & Doreian, P. (2011). On the dynamics of national scientific systems. Quality & Quantity, 45(5), 989–1015. doi:10.1007/s11135-011-9484-3.
14. Kronegger, L., Mali, F., Ferligoj, A., & Doreian, P. (2012). Collaboration structures in Slovenian scientific communities. Scientometrics, 90(2), 631–647. doi:10.1007/s11192-011-0493-8.
15. Kronegger, L., Mali, F., Ferligoj, A., & Doreian, P. (2014). Classifying scientific disciplines in Slovenia: A study of the evolution of collaboration structures. Journal of the Association for Information Science and Technology. doi:10.1002/asi.23171
16. Li, L., Alderson, D., Doyle, J. C., & Willinger, W. (2006). Towards a theory of scale-free graphs: Definition, properties, and implications. Internet Mathematics, 2(4), 431–523.
17. Mali, F., Kronegger, L., & Ferligoj, A. (2010). Co-authorship trends and collaboration patterns in the Slovenian sociological community. Corvinus Journal of Sociology and Social Policy (CJSSP), 1(2), 29–50.
18. Merton, R. K. (1968). The Matthew effect in science. Science, 159, 56–63.
19. Merton, R. K. (1973). Sociology of science. Chicago: Chicago University Press.
20. Moody, J. (2004). The structure of a social science collaboration network: Disciplinary cohesion from 1963 to 1999. American Sociological Review, 69(2), 213–238.
21. Newman, M. E. J. (2000). Small worlds: the structure of social networks. Condmat/0111070.
22. 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), 404–409. doi:10.1073/pnas.021544898.
23. Perc, M. (2010). Growth and structure of Slovenia’s scientific collaboration network. Journal of Informetrics, 4, 475–482. arXiv:1004.4824.
24. Pike, T. W. (2010). Collaboration networks and scientific impact among behavioral ecologists. Behavioral Ecology, 21(2), 431–435. doi:10.1093/beheco/arp194.
25. Price, D. S. (1963). Little science, big science and beyond. New York: Columbia University Press.
26. Price, D. S. (1965). Networks of scientific papers. Science, 149, 510–515.
27. Price, D. S. (1976). A general theory of bibliometric and other cumulative advantage processes. Journal of the American Society for Information Science, 27(5), 292–306. doi:10.1002/asi.4630270505.
28. 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. doi:10.1016/j.csda.2007.07.021.
29. Shrum, W., & Mullins, N. (1988). Network analysis in the study of science and technology. In A. van Ran (Ed.), Handbook of Quantitative Studies of Science and Technology (pp. 107–133). Amsterdam: Elsevier.
30. Shrum, W., Genuth, J., & Chompalo, I. (2007). Structures of scientific collaborations. Cambridge: The MIT Press.
31. Snijders, T. A. (2001). The statistical evaluation of social network dynamics. In M. Sobel & M. Becker (Eds.), Sociological Methodology—2001 (pp. 361–395). Oxford: Basil Blackwell.
32. Snijders, T. A. (2005). Models for longitudinal network data. In P. Carrington, J. Scott, & S. Wasserman (Eds.), Models and methods in social network analysis (pp. 215–247). Cambridge: Cambridge University Press.
33. Snijders, T.A. (2008). Analysing dynamics of non-directed social networks. Draft paper. http://www.stats.ox.ac.uk/snijders/siena/TwoSided_s.
34. Snijders, T. A., Steglich, C., & Schweinberger, M. (2007). Modeling the co-evolution of networks and behavior. In K. van Montfort, H. Oud, & A. Satorra (Eds.), Longitudinal models in the behavioral and related sciences (pp. 41–71). Mahwah, NJ: Lawrence Erlbaum.
35. Snijders, T. A., van de Bunt, G. G., & Steglich, C. (2010). Introduction to stochastic actor-based models for network dynamics. Social Networks, 32(1), 44–60.
36. Wagner, C., & Leydesdorff, L. (2005). Network structure, self-organization, and the growth of interantional collaboration in science. Research Policy, 34, 1608–1618.
37. Ward, J. (1963). Hierarchical grouping to optimize as objective function. Journal of the American Statistical Association, 58, 236–244.
38. Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ’small-world’ networks. Nature, 393(6684), 440–442. doi:10.1038/30918.
39. Ziman, J. (1994). Prometheus bound. Science in dynamic steady state. Cambridge: Cambridge University Press.