Spectra of random graphs with arbitrary expected degrees.
about
Distinct types of eigenvector localization in networksHeterogeneity in ecological mutualistic networks dominantly determines community stability.Emergence of Slow-Switching Assemblies in Structured Neuronal NetworksFinding communities in sparse networks.Epidemic threshold of the susceptible-infected-susceptible model on complex networks.Looplessness in networks is linked to trophic coherence.Finite size effects in the averaged eigenvalue density of Wigner random-sign real symmetric matrices.Eigenvalue tunneling and decay of quenched random network.Enhanced Detectability of Community Structure in Multilayer Networks through Layer Aggregation.Neural Network Spectral Robustness under Perturbations of the Underlying Graph.Stochastic fluctuations and the detectability limit of network communities.Spectral methods for community detection and graph partitioning.Eigenvalues for the transition matrix of a small-world scale-free network: Explicit expressions and applications.Spectra of random graphs with community structure and arbitrary degrees.
P2860
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P2860
Spectra of random graphs with arbitrary expected degrees.
description
2013 nî lūn-bûn
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2013年の論文
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name
Spectra of random graphs with arbitrary expected degrees.
@en
Spectra of random graphs with arbitrary expected degrees.
@nl
type
label
Spectra of random graphs with arbitrary expected degrees.
@en
Spectra of random graphs with arbitrary expected degrees.
@nl
prefLabel
Spectra of random graphs with arbitrary expected degrees.
@en
Spectra of random graphs with arbitrary expected degrees.
@nl
P2860
P1433
P1476
Spectra of random graphs with arbitrary expected degrees.
@en
P2093
M E J Newman
Raj Rao Nadakuditi
P2860
P304
P356
10.1103/PHYSREVE.87.012803
P407
P577
2013-01-10T00:00:00Z