20 citations · 38 across the 11 of their papers we have counts for
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physics.soc-ph2021
Reconstructing networks
Giulio Cimini, Rossana Mastrandrea, Tiziano Squartini
Complex networks datasets often come with the problem of missing information: interactions data that have not been measured or discovered, may be affected by errors, or are simply…
physics.data-an2021
Fast and scalable likelihood maximization for Exponential Random Graph Models with local constraints
Nicolò Vallarano, Matteo Bruno, Emiliano Marchese +5
Exponential Random Graph Models (ERGMs) have gained increasing popularity over the years. Rooted into statistical physics, the ERGMs framework has been successfully employed for re…