Camazine, S., Deneubourg, J.-L., Franks, N.R., Sneyd, J., Th´eraulaz, G. and Bonabeau, E. (2001). Self- Organization in Biological Systems, Princeton University Press, Princeton, NJ.
Davidsen, J., Ebel, H. and Bornholdt, S. (2002). Emergence of a small world from local interactions: Modeling acquaintance networks, Physical Review Letters 88(12): 128701. de Sola Pool, I. and Kochen, M. (1978). Contacts and influence, Social Networks 1(1): 5-58.
Dorigo, M., Bonabeau, E. and Th´eraulaz, G. (2000). Ant algorithms and stigmergy, Future Generation Computer Systems 16(9): 851-871.10.1016/S0167-739X(00)00042-X
Dorigo, M., Maniezzo, V. and Colorni, A. (1996). The ant system: Optimization by a colony of cooperating agents, IEEE Transactions on Systems, Man, and Cybernetics B 26(1): 29-41.10.1109/3477.48443618263004
Erdös, P. and R´enyi, A. (1960). On the evolution of random graphs, Publications of the Mathematical Institute of the Hungarian Academy of Sciences 5(1-2): 17-61.
Grassé, P.-P. (1959). La reconstruction du nid et les coordinations inter-individuelles chez Bellicositermes natalensis et Cubitermes sp. La th´eorie de la stigmergie: Essai d’interpr´etation du comportement des termites constructeurs, Insectes Sociaux 6(1): 41-81.
Grossetti, M. (2005). Where do social relations come from? A study of personal networks in the Toulouse area of France, Social Networks 27(4): 289-301.10.1016/j.socnet.2004.11.004
Guimerá, R., Danon, L., Diaz-Guilera, A., Giralt, F. and Arenas, A. (2003). Self-similar community structure in a network of human interactions, Physical Review E 68(6): 065103(R).10.1103/PhysRevE.68.06510314754250
Handl, J., Knowles, J. and Dorigo, M. (2006). Ant based clustering and topographic mapping, Artificial Life 12(1): 35-61.10.1162/10645460677518640016393450
Jiang, J., Wang, R. and Wang, Q.A. (2011). Network model of deviation from power-law distribution in complex network, The European Physical Journal B 79(1): 29-33.10.1140/epjb/e2010-10230-x
Korośec, P., ˇ Silc, J. and Filipiˇc, B. (2012). The differential ant-stigmergy algorithm, Information Sciences 192(1): 82-97.10.1016/j.ins.2010.05.002
Kumpula, J.M., Onnela, J., Saram¨aki, J., Kaski, K. and Kertesz, J. (2007). Emergence of communities in weighted networks, Physical Review Letters 99(22): 228701.10.1103/PhysRevLett.99.22870118233339
Kleinberg, J.M. (2000). The small-world phenomenon: An algorithmic perspective, Proceedings of the 32nd Annual ACM Symposium on Theory of Computing, Portland, OR, USA, pp. 163-173.
Marsili, M., Vega-Redondo, F. and Slanina, F. (2004). The rise and fall of a networked society: A formal model, Proceedings of the National Academy of Sciences of the United States of America 101(6): 1439-1442.10.1073/pnas.030568410134173814745030
Martens, D., De Backer, M., Haesen, R., Vanthienen, J., Snoeck, M. and Baesens, B. (2007). Classification with ant colony optimization, IEEE Transactions on Evolutionary Computation 11(5): 651-665.10.1109/TEVC.2006.890229
Marvel, S.A., Kleinberg, J., Kleinberg, R.D., and Strogatz, S.H. (2011). Continuous-time model of structural balance, Proceedings of the National Academy of Sciences of the United States of America 108(5):1771-1776.10.1073/pnas.1013213108303330021199953
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): 404-409.10.1073/pnas.98.2.4041459811149952
Péter, T. (2012). Modeling nonlinear road traffic networks for junction control, International Journal of Applied Mathematics and Computer Science 22(3): 723-732, DOI: 10.2478/v10006-012-0054-1.10.2478/v10006-012-0054-1
Rand, W.M. (1971). Objective criteria for the evaluation of clustering methods, Journal of the American Statistical Association 66(336): 846-850.10.1080/01621459.1971.10482356
Srinivasan, A. (2011). Local balancing influences global structure in social networks, Proceedings of the National Academy of Sciences of the United States of America 108(5): 1751-1752.10.1073/pnas.1018901108303331121252302
Toivonen, R., Kovanen, L., Kivel¨a, M., Onnela, J., Saram¨aki, J. and Kaski, K. (2009). A comparative study of social network models: Network evolution models and nodal attribute models, Social Networks 31(4): 240-254.10.1016/j.socnet.2009.06.004
Vukaśinovi´c, V., ˇSilc, J. and ˇSkrekovski, R. (2012a). Towards social networks model, Proceedings of the 5th International Conference on Bioinspired Optimization Methods and Their Applications, Bohinj, Slovenia, pp. 49-60.
Vukaśinovic, V., ˇ Silc, J. and ˇSkrekovski, R. (2012b). Swarm-inspired social network model and its properties, Proceedings of the 4th International Conference on Information Technologies and Information Society, Novo Mesto, Slovenia. Wang, W., Hu, B., Zhou, T., Wang, B. and Xie, Y. (2005). Mutual selection model for weighted networks, Physical Review E 72(4): 046140.10.1103/PhysRevE.72.04614016383501
Watts, D.J. (1999). Small Worlds: The Dynamics of Networks Between Order and Randomness, Princeton University Press, Princeton, NJ.10.1515/9780691188331
White, D.R., Kejzar, N., Tsallis, C., Farmer, D. and White, S. (2006). A generative model for feedback networks, Physical Review E 73(1): 016119.10.1103/PhysRevE.73.01611916486228
Xiong, F., Liu, Y., Zhu, J., Zhang, Z.J., Zhang, Y.C. and Zhang, Y. (2011). A dissipative network model with neighboring activation, The European Physical Journal B 84(1): 115-120. 10.1140/epjb/e2011-20286-7