3 papers
cond-mat.dis-nn2019
Inferring network structure and local dynamics from neuronal patterns with quenched disorder
Ihusan Adam, Gloria Cecchini, Duccio Fanelli +8
An inverse procedure is proposed and tested which aims at recovering the a priori unknown functional and structural information from global signals of living brains activity. To th…
physics.soc-ph2019
Maximum entropy approaches for the study of triadic motifs in the Mergers & Acquisitions network
Ihusan Adam, Stefano Garlaschi, Jian-Hong Lin +4
In the past years statistical physics has been successfully applied for complex networks modelling. In particular, it has been shown that the maximum entropy principle can be explo…
physics.soc-ph2018
Reactive explorers to unravel network topology
Ihusan Adam, Duccio Fanelli, Timoteo Carletti +1
A procedure is developed and tested to recover the distribution of connectivity of an a priori unknown network, by sampling the dynamics of an ensemble made of reactive walkers. Th…