662 citations · 8k across the 126 of their papers we have counts for
51 papers · 1 filter
Social Physics: A manifesto
János Kertész, Marc Barthelemny, Marc Barthelemy +21
Social Physics seeks quantitative, empirically testable explanations of collective human behavior. Its name has a long and contested history, but its contemporary program is neithe…
Systemic risk measured by systems resiliency to initial shocks
Luka Klinčić, Vinko Zlatić, Guido Caldarelli +1
The study of systemic risk is often presented through the analysis of several measures referring to quantities used by practitioners and policy makers. Almost invariably, those mea…
Dimensional Reduction of Solvency Contagion Dynamics on Financial Networks
Gianmarco Ricciardi, Guido Montagna, Guido Caldarelli +1
Modelling systems with networks has been a powerful approach to tame the complexity of several phenomena. Unfortunately, such an approach is often made difficult by the large numbe…
Laplacian paths in complex networks: information core emerges from entropic transitions
Pablo Villegas, Andrea Gabrielli, Francesca Santucci +2
Complex networks usually exhibit a rich architecture organized over multiple intertwined scales. Information pathways are expected to pervade these scales reflecting structural ins…
Detecting mesoscale structures by surprise
Emiliano Marchese, Guido Caldarelli, Tiziano Squartini
The importance of identifying the presence of mesoscale structures in complex networks can be hardly overestimated. So far, much attention has been devoted to the detection of comm…
The Physics of Financial Networks
Marco Bardoscia, Paolo Barucca, Stefano Battiston +6
The field of Financial Networks is a paramount example of the novel applications of Statistical Physics that have made possible by the present data revolution. As the total value o…
The ambiguity of nestedness under soft and hard constraints
Matteo Bruno, Fabio Saracco, Diego Garlaschelli +2
Many real networks feature the property of nestedness, i.e. the neighbours of nodes with a few connections are hierarchically nested within the neighbours of nodes with more connec…
True scale-free networks hidden by finite size effects
Matteo Serafino, Giulio Cimini, Amos Maritan +4
We analyze about two hundred naturally occurring networks with distinct dynamical origins to formally test whether the commonly assumed hypothesis of an underlying scale-free struc…
Extracting significant signal of news consumption from social networks: the case of Twitter in Italian political elections
Carolina Becatti, Guido Caldarelli, Renaud Lambiotte +1
According to the Eurobarometer report about EU media use of May 2018, the number of European citizens who consult on-line social networks for accessing information is considerably…
The Multilayer Structure of Corporate Networks
Jeroen van Lidth de Jeude, Tomaso Aste, Guido Caldarelli
Various company interactions can be described by networks, for instance the ownership networks and the board membership networks. To understand the ecosystem of companies, these in…
Numerical assessment of the percolation threshold using complement networks
Giacomo Rapisardi, Guido Caldarelli, Giulio Cimini
Models of percolation processes on networks currently assume locally tree-like structures at low densities, and are derived exactly only in the thermodynamic limit. Finite size eff…
Fragility and anomalous susceptibility of weakly interacting networks
Giacomo Rapisardi, Alex Arenas, Guido Caldarelli +1
Percolation is a fundamental concept that brought new understanding on the robustness properties of complex systems. Here we consider percolation on weakly interacting networks, th…
The Statistical Physics of Real-World Networks
Giulio Cimini, Tiziano Squartini, Fabio Saracco +3
In the last 15 years, statistical physics has been a very successful framework to model complex networks. On the theoretical side, this approach has brought novel insights into a v…
Detecting Core-Periphery Structures by Surprise
Jeroen van Lidth de Jeude, Guido Caldarelli, Tiziano Squartini
Detecting the presence of mesoscale structures in complex networks is of primary importance. This is especially true for financial networks, whose structural organization deeply af…
Thermodynamics of the Minimum Description Length on Community Detection
Juan Ignacio Perotti, Claudio Juan Tessone, Aaron Clauset +1
Modern statistical modeling is an important complement to the more traditional approach of physics where Complex Systems are studied by means of extremely simple idealized models.…
Reconstruction methods for networks: the case of economic and financial systems
Tiziano Squartini, Guido Caldarelli, Giulio Cimini +2
When studying social, economic and biological systems, one has often access to only limited information about the structure of the underlying networks. An example of paramount impo…
Entropy-based randomisation of rating networks
Carolina Becatti, Guido Caldarelli, Fabio Saracco
In the last years, due to the great diffusion of e-commerce, online rating platforms quickly became a common tool for purchase recommendations. However, instruments for their analy…
Reconstructing mesoscale network structures
Jeroen van Lidth de Jeude, Riccardo Di Clemente, Guido Caldarelli +2
When facing complex mesoscale network structures, it is generally believed that (null) models encoding the modular organization of nodes must be employed. The present paper focuses…
Multiple structural transitions in interacting networks
Giacomo Rapisardi, Alex Arenas, Guido Caldarelli +1
Many real-world systems can be modeled as interconnected multilayer networks, namely a set of networks interacting with each other. Here we present a perturbative approach to study…
Entropy-based approach to missing-links prediction
Federica Parisi, Guido Caldarelli, Tiziano Squartini
Link-prediction is an active research field within network theory, aiming at uncovering missing connections or predicting the emergence of future relationships from the observed ne…
From Ecology to Finance (and Back?): Recent Advancements in the Analysis of Bipartite Networks
Mika J. Straka, Guido Caldarelli, Tiziano Squartini +1
Bipartite networks provide an insightful representation of many systems, ranging from mutualistic networks of species interactions to investment networks in finance. The analysis o…
Critical field-exponents for secure message-passing in modular networks
Louis M. Shekhtman, Michael M. Danziger, Ivan Bonamassa +4
We study secure message-passing in the presence of multiple adversaries in modular networks. We assume a dominant fraction of nodes in each module have the same vulnerability, i.e.…
Grand canonical validation of the bipartite International Trade Network
Mika J. Straka, Guido Caldarelli, Fabio Saracco
Devising strategies for economic development in a globally competitive landscape requires a solid and unbiased understanding of countries technological advancements and similaritie…
Inferring monopartite projections of bipartite networks: an entropy-based approach
Fabio Saracco, Mika J. Straka, Riccardo Di Clemente +3
Bipartite networks are currently regarded as providing a major insight into the organization of many real-world systems, unveiling the mechanisms driving the interactions occurring…