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19942026
most citedScience vs Conspiracy: collective narratives in the age of (mis)information

662 citations · 8k across the 126 of their papers we have counts for

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Showing 2018 · physics.soc-phShow all

10 papers · 2 filters

physics.soc-ph2018★ 2 cited

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…

physics.soc-ph2018★ 6 cited

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…

physics.soc-ph2018★ 390 cited

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…

physics.soc-ph2018★ 29 cited

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…

physics.soc-ph2018★ 1 cited

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.…

physics.soc-ph2018★ 96 cited

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…

physics.soc-ph2018★ 13 cited

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…

physics.soc-ph2018★ 19 cited

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…

physics.soc-ph2018★ 6 cited

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…

physics.soc-ph2018★ 15 cited

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…