Ensemble nonequivalence in random graphs with modular structure
DOI10.1088/1751-8113/50/1/015001zbMath1358.82014arXiv1603.08759OpenAlexW2325137483WikidataQ61387113 ScholiaQ61387113MaRDI QIDQ2965327
Andrea Roccaverde, Diego Garlaschelli, W. Th. F. den Hollander
Publication date: 2 March 2017
Published in: Journal of Physics A: Mathematical and Theoretical (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1603.08759
microcanonical ensemblerandom graphconstraintscommunity structuremultiplex networkstochastic blockmodelequivalence versus non-equivalence
Random graphs (graph-theoretic aspects) (05C80) Stochastic methods applied to problems in equilibrium statistical mechanics (82B31) Statistical thermodynamics (82B30)
Related Items (7)
Cites Work
- Unnamed Item
- Low-temperature behaviour of social and economic networks
- Phase transitions in exponential random graphs
- Asymptotic enumeration of sparse 0--1 matrices with irregular row and column sums
- Equivalence and nonequivalence of ensembles: thermodynamic, macrostate, and measure levels
- A probabilistic proof of an asymptotic formula for the number of labelled regular graphs
- Asymptotic enumeration by degree sequence of graphs with degrees \(o(n^{1/2})\)
- The asymptotic number of non-negative integer matrices with given row and column sums
- The asymptotic number of labeled graphs with given degree sequences
- How likely is an LLD degree sequence to be graphical?
- Singularities in the entropy of asymptotically large simple graphs
- Estimating and understanding exponential random graph models
- Random Graphs and Complex Networks
- Phase transitions in a complex network
- Physics of Long-Range Interacting Systems
- Unbiased sampling of network ensembles
- Scale-Free Networks
- Nonequivalent statistical equilibrium ensembles and refined stability theorems for most probable flows
- A critical point for random graphs with a given degree sequence
- Gravitational instability of isothermal and polytropic spheres
- Analytical maximum-likelihood method to detect patterns in real networks
- The average distances in random graphs with given expected degrees
- Large deviation principles and complete equivalence and nonequivalence results for pure and mixed ensembles
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