CO-AUTHORSHIP NETWORK COMPARISON OF FOUR TURKISH UNIVERSITIES
Year 2016,
Volume: 5 , 196 - 202, 01.09.2016
İlker Turker
,
Rafet Durgut
,
Abdullah Cavusoglu
Abstract
Co-authorship networks are remarkable applications of
complex networks, an interdisciplinary framework of exploring systems composed
of smaller components with numerous interconnections. Generating connections
(links) between collaborating authors, we constructed co-authorship networks of
four Turkish universities as İstanbul Technical University, Selçuk University,
Sakarya University and Karabük University. Along with the node and edge counts,
we investigated the time evolution of network parameters like average degree,
modularity, clustering coefficient and average path length in yearly
resolution. We also outlined the effect of being a first-mover (or late) as a
university in terms of the network parameters.
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Opsahl, T. (2013). Triadic closure in two-mode networks: Redefining the global and local clustering coefficients. Social Networks, 35(2), 159-167. doi: 10.1016/j.socnet.2011.07.001
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Perc, M. (2010). Growth and structure of Slovenia's scientific collaboration network. Journal of Informetrics, 4(4), 475-482. doi: 10.1016/j.joi.2010.04.003
Strogatz, S. H. (2001). Exploring complex networks. Nature, 410(6825), 268-276. doi: 10.1038/35065725
Vazquez, A. (2003). Growing network with local rules: Preferential attachment, clustering hierarchy, and degree correlations. Physical Review E, 67(5), 15. doi: 10.1103/PhysRevE.67.056104
Virkar, Y., & Clauset, A. (2014). POWER-LAW DISTRIBUTIONS IN BINNED EMPIRICAL DATA. Annals of Applied Statistics, 8(1), 89-119. doi: 10.1214/13-aoas710
Wagner, C. S., & Leydesdorff, L. (2005). Network structure, self-organization, and the growth of international collaboration in science. Research Policy, 34(10), 1608-1618. doi: 10.1016/j.respol.2005.08.002
Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of 'small-world' networks. Nature, 393(6684), 440-442. doi: 10.1038/30918
YÖK. (2015). Akademisyen Başına Öğrenci Sayısı Listesi. from http://akademisyenler.org/wp-content/uploads/2015/05/Akademisyen-Ba%C5%9F%C4%B1na-%C3%96%C4%9Frenci-Say%C4%B1s%C4%B1-Listesi.pdf
Year 2016,
Volume: 5 , 196 - 202, 01.09.2016
İlker Turker
,
Rafet Durgut
,
Abdullah Cavusoglu
References
- Albert, R., & Barabasi, A. L. (2002). Statistical mechanics of complex networks. Reviews of Modern Physics, 74(1), 47-97. doi: 10.1103/RevModPhys.74.47
Amaral, L. A. N., Scala, A., Barthelemy, M., & Stanley, H. E. (2000). Classes of small-world networks. Proceedings of the National Academy of Sciences of the United States of America, 97(21), 11149-11152. doi: 10.1073/pnas.200327197
Barabasi, A. L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509-512. doi: 10.1126/science.286.5439.509
Barabasi, 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), 590-614. doi: 10.1016/s0378-4371(02)00736-7
Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: an open source software for exploring and manipulating networks. Paper presented at the International AAAI Conference on Weblogs and Social Media, San Jose, California.
Cavusoglu, A., & Turker, I. (2013). Scientific collaboration network of Turkey. Chaos Solitons & Fractals, 57, 9-18. doi: 10.1016/j.chaos.2013.07.022
Cavusoglu, A., & Turker, 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
Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009). Power-Law Distributions in Empirical Data. Siam Review, 51(4), 661-703. doi: 10.1137/070710111
Ferligoj, A., Kronegger, L., Mali, F., Snijders, T. A. B., & Doreian, P. (2015). Scientific collaboration dynamics in a national scientific system. Scientometrics, 104(3), 985-1012. doi: 10.1007/s11192-015-1585-7
Girvan, M., & Newman, M. E. J. (2002). Community structure in social and biological networks. Proceedings of the National Academy of Sciences of the United States of America, 99(12), 7821-7826. doi: 10.1073/pnas.122653799
Hoekman, J., Frenken, K., & Tijssen, R. J. W. (2010). Research collaboration at a distance: Changing spatial patterns of scientific collaboration within Europe. Research Policy, 39(5), 662-673. doi: 10.1016/j.respol.2010.01.012
Hou, H., Kretschmer, H., & Liu, Z. (2008). The structure of scientific collaboration networks in Scientometrics. Scientometrics, 75(2), 189-202. doi: 10.1007/s11192-007-1771-3
Leicht, E. A., & Newman, M. E. J. (2008). Community structure in directed networks. Physical Review Letters, 100(11). doi: 10.1103/PhysRevLett.100.118703
Luzar, B., Levnajic, Z., Povh, J., & Perc, M. (2014). Community Structure and the Evolution of Interdisciplinarity in Slovenia's Scientific Collaboration Network. Plos One, 9(4), 5. doi: 10.1371/journal.pone.0094429
Ma, H. T., Fang, C. L., Pang, B., & Li, G. D. (2014). The Effect of Geographical Proximity on Scientific Cooperation among Chinese Cities from 1990 to 2010. Plos One, 9(11), 11. doi: 10.1371/journal.pone.0111705
Milgram, S. (1967). The small-world problem. Psychology Today, 1(1), 61-67.
Newman, M. E. J. (2001a). Scientific collaboration networks. I. Network construction and fundamental results. Physical Review E, 64(1), 8.
Newman, M. E. J. (2001b). Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. Physical Review E, 64(1), 7.
Newman, M. E. J. (2001c). 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
Newman, M. E. J. (2002). Spread of epidemic disease on networks. Physical Review E, 66(1), 11. doi: 10.1103/PhysRevE.66.016128
Newman, M. E. J. (2003). The structure and function of complex networks. Siam Review, 45(2), 167-256. doi: 10.1137/s003614450342480
Newman, M. E. J. (2004). Coauthorship networks and patterns of scientific collaboration. Proceedings of the National Academy of Sciences of the United States of America, 101, 5200-5205. doi: 10.1073/pnas.0307545100
Opsahl, T. (2013). Triadic closure in two-mode networks: Redefining the global and local clustering coefficients. Social Networks, 35(2), 159-167. doi: 10.1016/j.socnet.2011.07.001
Park, J., & Newman, M. E. J. (2004). Statistical mechanics of networks. Physical Review E, 70(6), 13. doi: 10.1103/PhysRevE.70.066117
Perc, M. (2010). Growth and structure of Slovenia's scientific collaboration network. Journal of Informetrics, 4(4), 475-482. doi: 10.1016/j.joi.2010.04.003
Strogatz, S. H. (2001). Exploring complex networks. Nature, 410(6825), 268-276. doi: 10.1038/35065725
Vazquez, A. (2003). Growing network with local rules: Preferential attachment, clustering hierarchy, and degree correlations. Physical Review E, 67(5), 15. doi: 10.1103/PhysRevE.67.056104
Virkar, Y., & Clauset, A. (2014). POWER-LAW DISTRIBUTIONS IN BINNED EMPIRICAL DATA. Annals of Applied Statistics, 8(1), 89-119. doi: 10.1214/13-aoas710
Wagner, C. S., & Leydesdorff, L. (2005). Network structure, self-organization, and the growth of international collaboration in science. Research Policy, 34(10), 1608-1618. doi: 10.1016/j.respol.2005.08.002
Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of 'small-world' networks. Nature, 393(6684), 440-442. doi: 10.1038/30918
YÖK. (2015). Akademisyen Başına Öğrenci Sayısı Listesi. from http://akademisyenler.org/wp-content/uploads/2015/05/Akademisyen-Ba%C5%9F%C4%B1na-%C3%96%C4%9Frenci-Say%C4%B1s%C4%B1-Listesi.pdf