390 citations · 3.5k across the 79 of their papers we have counts for
79 papers
Assessing the Carbon Emissions and Energy Consumption of U.S. Hyperscale Data Centers
Gianluca Guidi, Francesca Dominici, Tiziano Squartini +6
The rapid proliferation of hyperscale data centers (HDCs) in the US, mainly driven by the adoption of artificial intelligence, has raised concerns about this industry's environment…
Topology as information: Network effects in corporate lending
Anna Pirogova, Anna Mancini, Tiziano Squartini +1
A central challenge in financial economics is understanding how credit networks form under informational noise. We introduce the concept of topological capital, arguing that banks…
A Bayesian approach to out-of-sample network reconstruction
Mattia Marzi, Tiziano Squartini
Networks underpin systems that range from finance to biology, yet their structure is often only partially observed. Current reconstruction methods typically fit the parameters of a…
Missing links prediction: comparing machine learning with physics-rooted approaches
Francesca Santucci, Giulio Cimini, Tiziano Squartini
An active research line within the broader field of network science is the one concerning link prediction. Close in scope to network reconstruction, link prediction targets specifi…
The hidden structure of innovation networks
Lorenzo Emer, Anna Gallo, Mattia Marzi +3
Innovation emerges from complex collaboration patterns - among inventors, firms, or institutions. However, not much is known about the overall mesoscopic structure around which inv…
Assessing imbalance in signed brain networks
Marzio Di Vece, Emanuele Agrimi, Samuele Tatullo +3
Many complex systems - be they financial, natural, or social - are composed of units - such as stocks, neurons, or agents - whose joint activity can be represented as a multivariat…
Reproducing the first and second moments of empirical degree distributions
Mattia Marzi, Francesca Giuffrida, Diego Garlaschelli +1
The study of probabilistic models for the analysis of complex networks represents a flourishing research field. Among the former, Exponential Random Graphs (ERGs) have gained incre…
Statistically validated projection of bipartite signed networks
Anna Gallo, Fabio Saracco, Tiziano Squartini
Bipartite networks provide a major insight into the organisation of many real-world systems. One of the most relevant issues encountered when modelling a bipartite network is that…
Spectral signatures of structural change in financial networks
Valentina Macchiati, Emiliano Marchese, Piero Mazzarisi +2
The level of systemic risk in economic and financial systems is strongly determined by the structure of the underlying networks of interdependent entities that can propagate shocks…
Inferring firm-level supply chain networks with realistic systemic risk from industry sector-level data
Massimiliano Fessina, Giulio Cimini, Tiziano Squartini +3
Production networks constitute the backbone of every economic system. They are inherently fragile as several recent crises clearly highlighted. Estimating the system-wide consequen…
Patterns of link reciprocity in directed, signed networks
Anna Gallo, Fabio Saracco, Renaud Lambiotte +2
Most of the analyses concerning signed networks have focused on the balance theory, hence identifying frustration with undirected, triadic motifs having an odd number of negative e…
Assessing frustration in real-world signed networks: a statistical theory of balance
Anna Gallo, Diego Garlaschelli, Tiziano Squartini
According to the so-called strong version of structural balance theory, actors in signed social networks avoid establishing triads with an odd number of negative links. Generalisin…
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…
Pattern-detection in the global automotive industry: a manufacturer-supplier-product network analysis
Massimiliano Fessina, Andrea Zaccaria, Giulio Cimini +1
Production networks arise from supply and customer relations among firms. These systems are gaining growing attention as a consequence of disruptions due to natural or man-made dis…
Tracing two decades of carbon emissions using a network approach
Gianluca Guidi, Rossana Mastrandrea, Angelo Facchini +2
Carbon emissions are currently attributed to producers although a consumption-aware accounting is advocated. After constructing the Carbon Trade Network, we trace the flow of emiss…
Exploring the Bitcoin Mesoscale
Nicolò Vallarano, Tiziano Squartini, Claudio J. Tessone
The open availability of the entire history of the Bitcoin transactions opens up the possibility to study this system at an unprecedented level of detail. This contribution is devo…
Description length of canonical and microcanonical models
Francesca Giuffrida, Tiziano Squartini, Peter Grünwald +1
The (non-)equivalence of canonical and microcanonical ensembles is a fundamental question in statistical physics, concerning whether the use of soft and hard constraints in the max…
Inferring comparative advantage via entropy maximization
Matteo Bruno, Dario Mazzilli, Aurelio Patelli +2
We revise the procedure proposed by Balassa to infer comparative advantage, which is a standard tool, in Economics, to analyze specialization (of countries, regions, etc.). Balassa…
Testing structural balance theories in heterogeneous signed networks
Anna Gallo, Diego Garlaschelli, Renaud Lambiotte +2
The abundance of data about social relationships allows the human behavior to be analyzed as any other natural phenomenon. Here we focus on balance theory, stating that social acto…
Deterministic, quenched and annealed parameter estimation for heterogeneous network models
Marzio Di Vece, Diego Garlaschelli, Tiziano Squartini
At least two, different approaches to define and solve statistical models for the analysis of economic systems exist: the typical, econometric one, interpreting the Gravity Model s…
Reconciling econometrics with continuous maximum-entropy network models
Marzio Di Vece, Diego Garlaschelli, Tiziano Squartini
In the study of economic networks, econometric approaches interpret the traditional Gravity Model specification as the expected link weight coming from a probability distribution w…
Change my Mind: Data Driven Estimate of Open-Mindedness from Political Discussions
Valentina Pansanella, Virginia Morini, Tiziano Squartini +1
One of the main dimensions characterizing the unfolding of opinion formation processes in social debates is the degree of open-mindedness of the involved population. Opinion dynami…
Entropy-based models to randomize real-world hypergraphs
Fabio Saracco, Giovanni Petri, Renaud Lambiotte +1
Network theory has often disregarded many-body relationships, solely focusing on pairwise interactions: neglecting them, however, can lead to misleading representations of complex…
Mesoscopic Structure of the Stock Market and Portfolio Optimization
Sebastiano Michele Zema, Giorgio Fagiolo, Tiziano Squartini +1
The idiosyncratic (microscopic) and systemic (macroscopic) components of market structure have been shown to be responsible for the departure of the optimal mean-variance allocatio…