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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)
On the predictability of growth
M. Cristelli, A. Cader, A. Tacchella, K. Roster, L. Pietronero
World Bank Working Paper
256 views
#growth #macroeconomics #complexity
topic-4 (Extreme materials)
How predictable is technological progress?
D. Farmer, F. Lafond
Research Policy
451 views
#innovation #technology #complexity
topic-4 (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)
The price of complexity in financial networks
S. Battiston, G. Caldarelli, R. May, T. Roukny, J. Stiglitz
Proceedings of the National Academy of Sciences
334 views
#finance #systemicrisk #complexity
topic-6 (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)
Complex derivatives
S. Battiston, G. Caldarelli, C. Georg, R. May, J. Stiglitz
Nature Physics
140 views
#complexity #finance #banking
topic-6 (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 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)
Self-assembly, modularity, and physical complexity
S. Ahnert, I. Johnston, T. Fink, J. Doye, A. Louis
Physical Review E
192 views
#complexity #modularity #combinatorics
119 papers
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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
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.