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Results: 5
Number of items: 5
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Abuhay, T. M., Kovalchuk, S. V., Bochenina, K., Mbogo, G.-K., Visheratin, A. A., Kampis, G., Krzhizhanovskaya, V. V., & Lees, M. H. (2018). Analysis of publication activity of computational science society in 2001–2017 using topic modelling and graph theory. Journal of Computational Science, 26, 193-204. https://doi.org/10.1016/j.jocs.2018.04.004
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Abuhay, T. M., Kovalchuk, S. V., Bochenina, K. O., Kampis, G., Krzhizhanovskaya, V. V., & Lees, M. H. (2017). Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory. Procedia Computer Science, 108, 7-17. https://doi.org/10.1016/j.procs.2017.05.183 -
Chugunov, A. V., Bolgov, R., Kabanov, Y., Kampis, G., Wimmer, M., Krzhizhanovskaya, V., & Boukhanovsky, A. V. (2016). Preface. In A. V. Chugunov, R. Bolgov, Y. Kabanov, G. Kampis, & M. Wimmer (Eds.), Digital Transformation and Global Society: First International Conference, DTGS 2016, St. Petersburg, Russia, June 22-24, 2016 : revised selected papers (pp. V-VI). (Communications in Computer and Information Science; Vol. 674). Springer. https://doi.org/10.1007/978-3-319-49700-6
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Toth, N., Gulyas, L., Legendi, R. O., Duijn, P., Sloot, P. M. A., & Kampis, G. (2013). The importance of centralities in dark network value chains. The European Physical Journal - Special Topics, 222(6), 1413-1439. https://doi.org/10.1140/epjst/e2013-01935-7
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Sloot, P. M. A., Kampis, G., & Gulyás, L. (2013). Advances in dynamic temporal networks: understanding the temporal dynamics of complex adaptive networks. The European Physical Journal - Special Topics, 222(6), 1287-1293. https://doi.org/10.1140/epjst/e2013-01926-8
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