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The statistical physics of real-world networks
G. Cimini, T. Squartini, F. Saracco, D. Garlaschelli, A. Gabrielli, G.
Nature Reviews Physics
21 views
#networks #informationtheory #complexity
topic-5 (Extreme materials)
Disentangling group and link persistence in Dynamic Stochastic Block models
P. Barucca, F. Lillo, P. Mazzarisi, D. Tantari
Sub. to
Journal of Statistical Physics
239 views
#randomgraphs #modularity #networks
topic-5 (Extreme materials)
Grand canonical validation of the bipartite international trade network
M. Straka, G. Caldarelli, F. Saracco
Physical Review E
125 views
#networks #complexsystems #economics
topic-5 (Extreme materials) topic-6 (Low-energy computing)
Enhanced capital-asset pricing model for bipartite financial networks reconstruction
T. Squartini, G. Caldarelli, G. Cimini
Physical Review E
223 views
#finance #networks #bipartitenetworks
topic-6 (Extreme materials)
Bayesian networks analysis of malocclusion data
M. Scutari, P. Auconi, G. Caldarelli, L. Franchi
Scientific Reports
126 views
#networks #bayesian #statistics
Concurrent enhancement of percolation and synchronization in adaptive networks
Y. Eom, S. Boccaletti, G. Caldarelli
Scientific Reports
130 views
#networks #ecolutionarysystems #complexsystems
topic-5 (Extreme materials)
Networks of plants: how to measure similarity in vegetable species
G. Vivaldo, E. Masi, C. Pandolfi, S. Mancuso, G. Caldarelli
Scientific Reports
122 views
#networks #organisms #complexity
topic-5 (Extreme materials)
Network valuation in financial systems
P. Barucca, M. Bardoscia, F. Caccioli, M. D’Errico, G. Visentin, S. Battiston, G. Caldarelli
Sub. to
Mathematical Finance
290 views
#finance #systemicrisk #networks
topic-6 (Extreme materials) topic-5 (Low-energy computing)
Optimal growth trajectories with finite carrying capacity
F. Caravelli, L. Sindoni, F. Caccioli, C. Ududec
Physical Review E
261 views
#networks #growth #biomathematics
Mitigating cascades in sandpile models: an immunization strategy for systemic risk?
A. Scala, V. Zlatić, G. Caldarelli, G. D’Agostino
Journal de Physique IV
132 views
#risk #networks #finance
topic-6 (Extreme materials)
Scale-free networks as an epiphenomenon of memory
F. Caravelli, A. Hamma, M. Ventra
EPL (Europhysics Letters)
203 views
#networks #memory #powerlaw
topic-5 (Extreme materials)
The heterogeneous dynamics of economic complexity
M. Cristelli, A. Tacchella, L. Pietronero
PLOS ONE
190 views
#macroeconomics #networks #complexity
topic-4 (Extreme materials)
How the interbank market becomes systemically dangerous: an agent-based network model of financial distress propagation
M. Serri, G. Caldarelli, G. Cimini
Network Theory of Finance
234 views
#finance #networks #contagion
topic-6 (Extreme materials)
Quantifying noise in mass spectrometry and yeast two-hybrid protein interaction detection experiments
A. Annibale, A. Coolen, N. Planell-Morell
Journal of the Royal Society Interface
251 views
#spectrometry #biomathematics #networks
Hyperbolicity measures democracy in real-world networks
M. Borassi, A. Chessa, G. Caldarelli
Physical Review E
154 views
#networks #complexsystems #nonlinearphenomena
topic-5 (Extreme materials)
Hierarchical mutual information for the comparison of hierarchical community structures in complex networks.
J. Perotti, C. Tessone, G. Caldarelli
Physical Review E
116 views
#networks #information #community
topic-5 (Extreme materials)
Self-healing networks: redundancy and structure
W. Quattrociocchi, G. Caldarelli, A. Scala
PLOS ONE
237 views
#resilience #networks #infrastructure
topic-5 (Extreme materials)
Easily repairable networks: reconnecting nodes after damage
R. Farr, J. Harer, T. Fink
Physical Review Letters
482 views
#resilience #networks #infrastructure
topic-5 (Extreme materials)
Random graph ensembles with many short loops
E. Roberts, T. Coolen
ESAIM: Proceedings and surveys
205 views
#networks #randomgraphs #clustering
topic-5 (Extreme materials)
Weighted networks as randomly reinforced urn processes
G. Caldarelli, A. Chessa, I. Crimaldi, F. Pammolli
Physical Review E
178 views
#networks #randomgraphs #statisticalphysics
topic-5 (Extreme materials)
Bootstrapping topology and systemic risk of complex network using the fitness model
N. Musmeci, S. Battiston, G. Caldarelli, M. Puliga, A. Gabrielli
Journal of Statistical Physics
307 views
#finance #networks #randomgraphs
topic-5 (Extreme materials)
Measuring the intangibles: a metric for the economic complexity of countries and products
M. Cristelli, A. Gabrielli, A. Tacchella, G. Caldarelli, L. Pietronero
PLOS ONE
257 views
#macroeconomics #complexity #networks
topic-4 (Extreme materials)
Economic complexity: conceptual grounding of a new metrics for global competitiveness
A. Tacchella, M. Cristelli, G. Caldarelli, A. Gabrielli, L. Pietronero
Journal of Economic Dynamics and Control
238 views
#complexity #macroeconomics #networks
topic-4 (Extreme materials)
A new metric for countries’ fitness and products’ complexity
A. Tacchella, M. Cristelli, G. Caldarelli, A. Gabrielli, L. Pietronero
Scientific Reports
261 views
#economics #networks #innovation
topic-4 (Extreme materials)
A network analysis of countries’ export flows: firm grounds for the building blocks of the economy
G. Caldarelli, M. Cristelli, A. Gabrielli, L. Pietronero, A. Scala, A. Tacchella
PLOS ONE
244 views
#networks #macroeconomics #complexity
topic-4 (Extreme materials) topic-5 (Low-energy computing)
What you see is not what you get: how sampling affects macroscopic features of biological networks
A. Annibale, A. Coolen
Interface Focus
291 views
#networks #randomgraphs #biomathematics
topic-5 (Extreme materials)
Optimal scales in weighted networks
D. Garlaschelli, S. Ahnert, T. Fink, G. Caldarelli
Social Informatics. Lecture Notes in Computer Science
132 views
#networks #optimisation #graph
topic-5 (Extreme materials)
119 papers
Citation updates
Online media updates
The statistical physics of real-world networks
G. Cimini, T. Squartini, F. Saracco, D. Garlaschelli, A. Gabrielli, G.
Nature Reviews Physics
1, 58 (08/19)
In the past 15 years, statistical physics has been successful as a framework for modelling complex networks. On the theoretical side, this approach has unveiled a variety of physical phenomena, such as the emergence of mixed distributions and ensemble non-equivalence, that are observed in heterogeneous networks but not in homogeneous systems. At the same time, thanks to the deep connection between the principle of maximum entropy and information theory, statistical physics has led to the definition of null models for networks that reproduce features of real-world systems but that are otherwise as random as possible. We review here the statistical physics approach and the null models for complex networks, focusing in particular on analytical frameworks that reproduce local network features. We show how these models have been used to detect statistically significant structural patterns in real-world networks and to reconstruct the network structure in cases of incomplete information. We further survey the statistical physics models that reproduce more complex, semilocal network features using Markov chain Monte Carlo sampling, as well as models of generalized network structures, such as multiplex networks, interacting networks and simplicial complexes.