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References
Cooperative association for internet data analysis (http://www.caida.org/).
L.A. Adamic, R.M. Lukose, A.R. Puniyani, and B.A. Huberman, ‘Search in power-law networks’, Phys. Rev. E, 64, 046135, (2001).
R. Albert and A.L. Barab ási, ‘Statistical mechanics of complex networks’, Rev. Mod. Phys., 74, 47-97, (2002).
A.-L. Barab ási and R. Albert, ‘Emergence of scaling in random networks’, Science, 286, 509-512, (1999).
S.N. Dorogovtsev and J.F.F. Mendes, Evolution of Networks: From Biological Nets to the Internet and WWW, Oxford University Press, Oxford, 2003.
E.H. Durfee, V.R. Lesser, and D.D. Corkill, ‘Cooperation through communication in a distributed problem solving network’, in Distributed Artifical Intelligence, ed., M. Huhns, chapter 2, Pitman, (1987).
K. Fukuda, S. Sato, O. Akashi, T. Hirotsu, S. Kurihara, and T. Sugawara, ‘On the use of hierachical power-law network topology for server selection and allocation in multiagent systems’, in Proc. of IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp. 16-21, (2005).
M. E. Gaston and M.desJardins, ‘Agent-organized networks for dynamic team formation’, In Proc. of International Joint Conference on Autonomous Agents and Multiagent Systems, 230-237, (2005).
M.E.J. Newman, ‘Assortative mixing in networks’, Phys. Rev. Lett., 89, 208701, (2002).
R. Pastor-Satorras, E. Smith, and R.V. Sole, ‘Dynamical and correlation properties of the internet’, Phys. Rev. Lett., 87, 258701, (2000).
N. Sarshar, P.O. Boykin, and V.P. Roychowdhury, ‘Percolation search in power law networks: Making unstructured peer-to-peer networks scalable’, In Proc. of Fourth International Conference on Peer-to-Peer Computing, 2-9, (2004).
A. V ázquez, ‘Growing network with local rules: Preferntial attachment, clustering hierarchy, and degree correlations’, Phys. Rev. E, 67, 056104, (2003).
Multiagent Systems - A Modern Approach to Distributed Artificial Intelligence, ed., G. Weiss, MIT Press, (1999).
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Fukuda, K., Hirotsu, T., Kurihara, S., Akashi, O., Sato, Sy., Sugawara, T. (2007). The Impact of Network Model on Performance of Load-balancing. In: Namatame, A., Kurihara, S., Nakashima, H. (eds) Emergent Intelligence of Networked Agents. Studies in Computational Intelligence, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71075-2_3
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