Abstract
The paper presents analysis of core-periphery structure and transition dynamics of individuals between the core and periphery in collaboration networks of Slovenian researchers over 44 years. We observe the dynamics of individuals from three different aspects: regarding the length of the presence in the core-strength, the length of intervals of permanent presence in the core-stability, and the presence in different time periods-balance. We use clustering and classification machine learning techniques in order to automatically group individuals with similar dynamics of behaviour into common classes. We study collaboration networks of Slovenian researchers based on their publication records. The data we used comprises about 18,000 researchers registered in Slovenian national databases of researchers together with their publications from 1970 to 2013.
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Alba, R. D., & Moore, G. (1978). Elite social circles. Sociological Methods and Research, 7(2), 167–188.
Barabási, A. L., Jeong, H., Néda, 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), 590–614.
Borgatti, S., & Everett, M. (1999). Models of core/periphery structures. Social Networks, 21, 375–395.
Borgatti, S., Everett, M. G., & Freeman, L. C. (2002). UCINET 6 for Windows: Software for social network analysis. Harvard: Analytic Technologies.
Boyd, J. P., Fitzgerald, W. J., & Beck, R. J. (2006). Computing core/periphery structures and permutation tests for social relations data. Social Networks, 28(2), 165–178.
Brusco, M. (2011). An exact algorithm for a core/periphery bipartitioning problem. Social Networks, 33(1), 12–19.
Doreian, P., & Fararo, T. J. (1985). Structural equivalence in a journal network. Journal of the American Society for Information Science and Technology, 36, 28–37.
Glänzel, W. (2001a). Coauthorship patterns and trends in the sciences (1980–1998): A bibliometric study with implications for database indexing and search strategies. Library Trends, 50(3), 461–473.
Glänzel, W. (2001b). National characteristics in international scientific co-authorship relations. Scientometrics, 51(1), 69–115.
Glänzel, W., & Schubert, A. (2005). The use of publication and patent statistics in studies of S&T systems. In H. F. Moed, W. Glänzel, & U. Schmoch (Eds.), Handbook of quantitative science and technology research (pp. 257–276). Dordrecht: Springer Netherlands.
Goldberg, D. E. (1989). Genetic algorithms in search, optimization, and machine learning (1st ed.). Boston: Addison-Wesley Longman Publishing Co., Inc.
Hâncean, M. G., Perc, M., & Vlăsceanu, L. (2014). Fragmented romanian sociology: Growth and structure of the collaboration network. PLoS One, 9(11), e113271.
Harenberg, S., Bello, G., Gjeltema, L., Ranshous, S., Harlalka, J., Seay, R., et al. (2014). Community detection in large-scale networks: A survey and empirical evaluation. Wiley Interdisciplinary Reviews: Computational Statistics, 6(6), 426–439.
Ioannidis, J. P. A., Boyack, K. W., & Klavans, R. (2014). Estimates of the continuously publishing core in the scientific workforce. PLoS One, 9(7), e101698.
Jovanović, M. M., John, M., & Reschke, S. (2010). Effects of civil war: Scientific cooperation in the republics of the former Yugoslavia and the province of Kosovo. Scientometrics, 82(3), 627–645.
Karlovčec, M., & Mladenić, D. (2015). Interdisciplinarity of scientific fields and its evolution based on graph of project collaboration and co-authoring. Scientometrics, 102, 433–454.
Kernighan, B. W., & Lin, S. (1970). An efficient heuristic procedure for partitioning graphs. Bell System Technical Journal, 49(2), 291–307.
Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing. Science, 220(4598), 671–680.
Kronegger, L., Mali, F., Ferligoj, A., & Doreian, P. (2012). Collaboration structures in Slovenian scientific communities. Scientometrics, 90(2), 631–647.
Leskovec, J., Kleinberg, J., & Faloutsos, C. (2007). Graph evolution: Densification and shrinking diameters. ACM Transactions on Knowledge Discovery from Data, 1(1), 2.
Leskovec, J., Backstrom, L., Kumar, R., & Tomkins, A. (2008). Microscopic evolution of social networks. In Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, USA, KDD ’08, (pp. 462–470).
Lip, S. Z. W. (2011). A fast algorithm for the discrete core/periphery bipartitioning problem. ArXiv preprint, article no. 1102.5511.
Lužar, B., Levnajić, Z., Povh, J., & Perc, M. (2014). Community structure and the evolution of interdisciplinarity in slovenia’s scientific collaboration network. PLoS One, 9(4), e94429.
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, 2(1), 29–50.
Mcauley, J., & Leskovec, J. (2014). Discovering social circles in ego networks. ACM Transactions on Knowledge Discovery from Data, 8(1), 4.
Nemeth, R. J., & Smith, D. A. (1985). International trade and world-system structure: A multiple network analysis. Review, 8(4), 517–560.
Newman, M. E. J. (2001). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98(2), 404–409.
Perc, M. (2010a). Growth and structure of Slovenia’s scientific collaboration network. Journal of Informetrics, 4(4), 475–482.
Perc, M. (2010b). Zipf’s law and log-normal distributions in measures of scientific output across fields and institutions: 40 years of Slovenia’s research as an example. Journal of Informetrics, 4(3), 358–364.
Perc, M. (2014). The matthew effect in empirical data. Journal of the Royal Society Interface, 11(98), 20140378.
Smith, D. A., & White, D. R. (1992). Structure and dynamics of the global economy: Network analysis of international trade 1965–1980. Social Forces, 70(4), 857–893.
Snyder, D., & Kick, E. L. (1979). Structural position in the world system and economic growth, 1955–1970: A multiple-network analysis of transnational interactions. American Journal of Sociology, 84(5), 1096–1126.
Wallerstein, I. M. (1974). The modern world-system I: Capitalist agriculture and the origins of the European world-economy in the sixteenth century (Studies in Social Discontinuity). New York: Academic Press.
Acknowledgments
The authors thank two anonymous referees for their remarks which helped to improve the manuscript. This research was initiated in the framework of the project L7–4119 financed by Slovenian Research Agency ARRS. The second author acknowledges a partial support from ARRS Program P1–0383, Creative Core-FISNM–3330–13–500033, and the National Scholarship Programme of the Slovak Republic.
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Karlovčec, M., Lužar, B. & Mladenić, D. Core-periphery dynamics in collaboration networks: the case study of Slovenia. Scientometrics 109, 1561–1578 (2016). https://doi.org/10.1007/s11192-016-2154-4
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DOI: https://doi.org/10.1007/s11192-016-2154-4