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Miloš Kudĕlka, Šárka Zehnalová, Zdenĕk Horák, Pavel Krömer and Václav Snášel

References Abdallah, S. (2011). Generalizing unweighted network measures to capture the focus in interactions, Social Network Analysis and Mining 1(4): 255-269. Bar-Yossef, Z. andMashiach, L.-T. (2008). Local approximation of PageRank and reverse PageRank, Proceedings of the 17th ACM Conference on Information and Knowledge Management, Napa Valley, CA, USA, pp. 279-288. Barabási, A.-L. and Frangos, J. (2002). Linked: The New Science of Networks Science Of Networks, Basic Books, New York, NY

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Vida Vukašinović, Jurij Šilc and Risth Škrekovski

. (1960). On the evolution of random graphs, Publications of the Mathematical Institute of the Hungarian Academy of Sciences 5(1-2): 17-61. Freeman, L.C. (2004). The Development of Social Network Analysis: A Study in the Sociology of Science, Empirical Press, Vancouver, BC. Granovetter, M.S. (1973). The strength of weak ties, American Journal of Sociology 78(6): 1360-1380. Grassé, P.-P. (1959). La reconstruction du nid et les coordinations inter-individuelles chez Bellicositermes natalensis et Cubitermes sp. La th´eorie de

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Diego Ruiz and Jorge Finke

References Barabási, A.-L. and Albert, R. (1999). Emergence of scaling in random networks, Science 286 (5439): 509–512. Barabási, A.-L. and Pósfai, M. (2016). Network Science , Cambridge University Press, Cambridge. Bianconi, G. and Barabási, A. L. (2001). Competition and Multiscaling in evolving networks, Europhysics Letters 54 (4): 436–442. Burgess, K. and Passino, K. (1995). Stability analysis of load balancing systems, International Journal of Control 61 (2): 357–393. Caldarelli, G., Capocci, A., De Los Rios, P. and

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Abdelaziz Zaidi, Belkacem Ould Bouamama and Moncef Tagina

). Introduction to Applied Bayesian Statistics and Estimation for Social Scientists , Springer, New York, NY. Marquez, D., Neil, M. and Fenton, N.E. (2007). A new Bayesian network approach to reliabilitymodeling, 5th International Mathematical Methods in Reliability Conference (MMR 07), Glasgow, UK , pp. 1-4. Martz, H.F. and Waller, R.A. (1990). Bayesian reliability analysis of complex series/parallel systems of binomial subsystems and components, Technometrics Archive 32 (4): 407-416. Mehranbod, N., Soroush, M. and

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Anna Kobusińska, Jerzy Brzeziński, Michał Boroń, Łukasz Inatlewski, Michał Jabczyński and Mateusz Maciejewski

Cryptology ePrint Archive 2013: 881. Völker, L., Noe, M., Waldhorst, O.P., Werle, C. and Sorge, C. (2011). Can internet users protect themselves? Challenges and techniques of automated protection of http communication, Computer Communications 34(3): 457-467. Warren, J. (2012). Bitmessage: A peer-to-peer message authentication and delivery system, www.bitmessage.org. Weninger, T. (2014). An exploration of submissions and discussions in social news: Mining collective intelligence of Reddit, Social Network Analysis and Mining 4

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Michał P. Karpowicz

convergence, IEEE/ACM Transactions on Networking 7 (6): 861-874. Low, S., Paganini, F., Wang, J. and Doyle, J. (2003). Linear stability of TCP/RED and a scalable control, Computer Networks 43 (5): 633-647. Low, S., Peterson, L. and Wang, L. (2002). Understanding TCP Vegas: A duality model, Journal of the ACM (JACM) 49 (2): 207-235. Lubacz, J. (Ed.) (2011). Auction Mechanisms in Telecommunications , WKŁ, Warsaw, (in Polish). Maheswaran, R. and Basar, T. (2004). Social welfare of selfish agents: Motivating

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Bogdan Trawiński, Magdalena Smętek, Zbigniew Telec and Tadeusz Lasota

of Multiple-Valued Logic and Soft Computing 17 (2-3): 229-253. Li, J. (2008). A two-step rejection procedure for testing multiple hypotheses, Journal of Statistical Planning and Inference 138 (6): 1521-1527. Lilliefors, H. (1967). On the Kolmogorov-Smirnov test for normality with mean and variance unknown, Journal of the American Statistical Association 62 (318): 399-402. Luengo, J., García, S. and Herrera, F. (2009). A study on the use of statistical tests for experimentation with neural networks: Analysis of

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Cherukuri Kumar

-1410. Pattison, P. E. and Breiger, R. L. (2002). Lattices and dimensional representations: Matrix decompositions and ordering structures, Social Networks   24 (4): 423-444. Poelmans, J., Elzinga, P., Viaene, S., Dedene., G. (2010). Formal concept analysis in knowledge discovery: A Survey in R. Goebel (Ed.) Proceedings of the 18th International Conference on Conceptual Structures , Springer-Verlag, Berlin, pp. 139-153. Priss, U. (2006). Formal concept analysis in information science, Annual Review of Information Science

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Laura Vasiliu, Florin Pop, Catalin Negru, Mariana Mocanu, Valentin Cristea and Joanna Kolodziej

Networks and Environments, IGI Global, Hershey, PA, pp. 97-121. Negru, C., Mocanu, M. and Cristea, V. (2015). Impact of virtual machines heterogeneity on data center power consumption in data-intensive applications, ACM Symposium on Principles of Distributed Computing: PODC 2015, Donostia- San Sebastián, Spain, pp. 91-102. Negru, C., Mocanu, M., Cristea, V., Sotiriadis, S. and Bessis, N. (2016). Analysis of power consumption in heterogeneous virtual machine environments, Soft Computing: 1-12, DOI: 10.1007/s00500

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Tomasz Kajdanowicz and Przemysław Kazienko

. Semantic Web, Social Networks and Multiagent Systems, Lecture Notes in Artificial Intelligence, Vol. 5796, Springer, Berlin/Heidelberg, pp. 850-857. Kajdanowicz, T. and Kazienko, P. (2009b). Prediction of sequential values for debt recovery, in E. Bayro-Corrochano and J.-O. Eklundh (Eds.), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Lecture Notes in Computer Science, Vol. 5856, Springer, Berlin/Heidelberg, pp. 337-344. Kajdanowicz, T., Wozniak, M. and Kazienko, P. (2011). Multiple classifier