Maximum Entropy Hub

During the years, the group contributed strongly to develop maximum entropy methods for the analysis of complex networks [1]. In the dedicated webpage Maximum Entropy Hub, we collected all the repositories produced by the group in order to calculate the probabilities of the various null-models.

[1] Cimini, G., Squartini, T., Saracco, F. et al. The statistical physics of real-world networks. Nat Rev Phys 1, 58–71 (2019).

Detecting Core-Perifery by Surprise

At the following link, you can find the code for a novel method to detect statistically-significant bimodular structures, i.e. either bipartite or core-periphery ones. It is based on a modification of the surprise, recently proposed for detecting communities. The present variant allows for bimodular nodes partitions to be revealed, by letting links to be placed either 1) within the core part and between the core and the periphery parts or 2) just between the (empty) layers of a bipartite network. More details can be found in the original article [1].

[1] J. van Lidth de Jeude, G. Caldarelli and T. Squartini, EPL (Europhysics Letters), Volume 125, Number 6 (2019)