from the perspective of
In the past 15 years, statistical physics has been successful as a framework for modelling complex networks. On the theoretical side, this approach has unveiled a variety of physical phenomena, such as the emergence of mixed distributions and ensemble non-equivalence, that are observed in heterogeneous networks but not in homogeneous systems. At the same time, thanks to the deep connection between the principle of maximum entropy and information theory, statistical physics has led to the definition of null models for networks that reproduce features of real-world systems but that are otherwise as random as possible.The statistical physics of real-world networks, Nature Reviews Physics volume 1, pages58–71 (2019)
Adjoint faculty members
Graduated date: 2019/01/10.
Mean-field solution of structural balance dynamics in nonzero temperature, https://doi.org/10.1103/PhysRevE.99.062302PhysRevE.99.062302
Quartic Balance Theory: Global Minimum With Imbalanced Triangles, https://arxiv.org/abs/2001.017192001.01719
- Romualdo Pastor-Satorras, Miguel Rubi, Albert Diaz-Guilera; Statistical Mechanics of Complex Networks (Lecture Notes in Physics)
- Belaza AM,
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- Giulio Cimini, Tiziano Squartini, Fabio Saracco, Diego Garlaschelli, Andrea Gabrielli & Guido
Caldarelli ;The statistical physics of real-world networks
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