31 citations · 31 across the 10 of their papers we have counts for
7 papers · 1 filter
Global synchronization of topological signals with time-delayed interactions
Wilfried Segnou, Thierry Njougouo, Diego Garlaschelli +1
Topological signals are dynamical variables supported on higher-order structures such as simplicial or cell complexes. In this work, we investigate the impact of time-delayed inter…
Renormalisation of Inhomogeneous Random Graphs
Luca Avena, Diego Garlaschelli, Rajat Subhra Hazra +1
We consider inhomogeneous random graphs in which vertices are assigned i.i.d.\ random weights, pairs of distinct vertices are connected by an edge independently with a probability…
q-Exponential Random Graphs: higher-order networks from simple constraints
David Dobáš, Diego Garlaschelli, Petr Jizba
Exponential Random Graphs (ERGs) are among the most widely used network models, derived as principled least-bias graph ensembles that maximize Shannon entropy under constraints on…
Community detection in subject-subject networks from psychometrics data
Arianna Armanetti, Luca Cecchetti, Eiko Fried +2
Identifying subgroups of respondents in psychometric data is traditionally addressed with Latent Class Analysis, which requires the number of classes to be specified a priori and c…
GDP-Driven Structural and Dynamical Heterogeneity in the Synchronization of Chaotic Macroeconomic Networks
Thierry Njougouo, Fernando Fagundes Ferreira, Diego Garlaschelli
We investigate the emergence of synchronization in a network of coupled chaotic macroeconomic systems. Each node represents an economy characterized by three key variables savings,…
Inverse generalised spin models of answers to questionnaires
Arianna Armanetti, Luca Cecchetti, Paolo Sarti +2
Network psychometrics conceptualises psychological constructs as emergent properties of systems of interacting items. Energy-based probabilistic models have gained popularity as mo…
Clustering without geometry in sparse networks with independent edges
Alessio Catanzaro, Remco van der Hofstad, Diego Garlaschelli
The coexistence of sparsity and clustering (non-vanishing average fraction of triangles per node) is one of the few structural features that, irrespective of finer details, are ubi…