Abstract
We show that the emergence of different structures in complex networks can be represented in terms of a phase transition for quantum gases. In particular, we propose a model of fermionic networks that allows to investigate the network evolution and its dependence on the system temperature. Simulations, performed in accordance with the cited model, illustrate that the transition from classical random networks to scale-free networks mimics a cooling process in quantum gases. Furthermore, we found that, at very low temperatures, a winner-takes-all structure emerges. We deem this model useful for studying the evolution of complex networks and also for representing competitive dynamics.
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Javarone, M.A., Armano, G. (2013). Phase Transitions in Fermionic Networks. In: Tomassini, M., Antonioni, A., Daolio, F., Buesser, P. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2013. Lecture Notes in Computer Science, vol 7824. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37213-1_40
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DOI: https://doi.org/10.1007/978-3-642-37213-1_40
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