495 citations · 5.9k across the 100 of their papers we have counts for
10 papers · 1 filter
Pattern detection in bipartite networks: a review of terminology, applications and methods
Zachary Neal, Annabel Cadieux, Diego Garlaschelli +7
Two dimensional matrices with binary (0/1) entries are a common data structure in many research fields. Examples include ecology, economics, mathematics, physics, psychometrics and…
Learn your entropy from informative data: an axiom ensuring the consistent identification of generalized entropies
Andrea Somazzi, Diego Garlaschelli
Shannon entropy, a cornerstone of information theory, statistical physics and inference methods, is uniquely identified by the Shannon-Khinchin or Shore-Johnson axioms. Generalizat…
Binary versus non-binary information in real time series: empirical results and maximum-entropy matrix models
Assaf Almog, Diego Garlaschelli
The dynamics of complex systems, from financial markets to the brain, can be monitored in terms of multiple time series of activity of the constituent units, such as stocks or neur…
Community detection for correlation matrices
Mel MacMahon, Diego Garlaschelli
A challenging problem in the study of complex systems is that of resolving, without prior information, the emergent, mesoscopic organization determined by groups of units whose dyn…
Optimal scales in weighted networks
Diego Garlaschelli, Sebastian E. Ahnert, Thomas M. A. Fink +1
The analysis of networks characterized by links with heterogeneous intensity or weight suffers from two long-standing problems of arbitrariness. On one hand, the definitions of top…
Enhanced reconstruction of weighted networks from strengths and degrees
Rossana Mastrandrea, Tiziano Squartini, Giorgio Fagiolo +1
Network topology plays a key role in many phenomena, from the spreading of diseases to that of financial crises. Whenever the whole structure of a network is unknown, one must reso…