Diego Garlaschelli

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Associate Professor (permanent)

IMT Institute for Advanced Studies

Italy

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About

Diego Garlaschelli is an Associate Professor at the IMT Institute for Advanced Studies in Italy. His research focuses on complex networks, statistical physics, and information theory, as indicated by his recent publications on topics such as generalized entropies, structural change in financial networks, and link reciprocity in directed networks. His work also explores the inference of transition probabilities in temporal networks and the reconstruction of interbank networks.

Recent Grants

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NETWORKS

Open Date: 2014-07-01

Close Date:

Grant: Close

MULTIPLEX

Open Date: 2013-11-01

Close Date: 2016-10-01

Grant: Close

Huygens Fellowship

Open Date: 2013-09-01

Close Date:

Grant: Close

Econophysics

Open Date: 2011-02-01

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2020

Collaborators (15)

Renaud Lambiotte

University of Oxford

UNITED KINGDOM

Diego Garlaschelli

Research Interests

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About

Recent Grants

Articles (25)

Network renormalization

Patterns of link reciprocity in directed, signed networks

Learn your entropy from informative data: An axiom ensuring the consistent identification of generalized entropies

Spectral signatures of structural change in financial networks

Reconstructing supply networks

Interbank network reconstruction enforcing density and reciprocity

Testing structural balance theories in heterogeneous signed networks

Commodity-specific triads in the Dutch inter-industry production network

On Nonlinear Compression Costs: When Shannon Meets Rényi

Pattern detection in bipartite networks: A review of terminology, applications, and methods

Assessing frustration in real-world signed networks: A statistical theory of balance

Temporal networks with node-specific memory: Unbiased inference of transition probabilities, relaxation times, and structural breaks

Linking through time: Memory-enhanced community discovery in temporal networks

Central limit theorem for the principal eigenvalue and eigenvector of Chung–Lu random graphs

Ensemble nonequivalence and Bose–Einstein condensation in weighted networks

Local Phase Transitions in a Model of Multiplex Networks with Heterogeneous Degrees and Inter-Layer Coupling

Reconciling econometrics with continuous maximum-entropy network models

Deterministic, quenched, and annealed parameter estimation for heterogeneous network models

Multiscale network renormalization: Scale-invariance without geometry

Fluctuating ecological networks: A synthesis of maximum‐entropy approaches for pattern detection and process inference

Gravity models of networks: Integrating maximum-entropy and econometric approaches

Strong ensemble nonequivalence in systems with local constraints

Uncovering the mesoscale structure of the credit default swap market to improve portfolio risk modelling

Crowded Trades, Market Clustering, and Price Instability

A faster horse on a safer trail: generalized inference for the efficient reconstruction of weighted networks

Collaborators (15)

Renaud Lambiotte

Paolo Ferragina

Giovanni Strona

Tancredi Caruso

Frank den Hollander

Piero Mazzarisi

Guanyang Wang

Rajat Subhra Hazra

Zachary P. Neal

M. Ángeles Serrano

Werner Ulrich

Iman van Lelyveld

Michel Mandjes

Alexandra Brintrup

Subodh Patil

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