31 citations · 31 across the 10 of their papers we have counts for
12 papers
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…
Renormalization of Interacting Random Graph Models
Alessio Catanzaro, Diego Garlaschelli, Subodh P. Patil
Random graphs offer a useful mathematical representation of a variety of real world complex networks. Exponential random graphs, for example, are particularly suited towards genera…
Spectra of random graphs with discrete scale invariance
Alessio Catanzaro, Rajat Subhra Hazra, Diego Garlaschelli
Random graphs defined by an occurrence probability that is invariant under node aggregation have been identified recently in the context of network renormalization. The invariance…
Testing maximum entropy models with e-values
Francesca Giuffrida, Diego Garlaschelli, Peter Grünwald
E-values have recently emerged as a robust and flexible alternative to p-values for hypothesis testing, especially under optional continuation, i.e., when additional data from furt…
Voter model on heterogeneous directed networks
Luca Avena, Federico Capannoli, Diego Garlaschelli +1
We investigate the consensus dynamics of the voter model on large random graphs with heterogeneous and directed features, focusing in particular on networks with power-law degree d…
Reconstructing firm-level interactions: the Dutch input-output network
Leonardo Niccolò Ialongo, Camille de Valk, Emiliano Marchese +4
Recent crises have shown that the knowledge of the structure of input-output networks at the firm level is crucial when studying economic resilience from the microscopic point of v…