about
Distinct types of eigenvector localization in networksOverlapping Community Detection based on Network Decomposition.Scalable detection of statistically significant communities and hierarchies, using message passing for modularityHierarchical Decomposition for Betweenness Centrality Measure of Complex Networks.Cross-validation estimate of the number of clusters in a networkCompleteness of Community Structure in NetworksHeterogeneity in ecological mutualistic networks dominantly determines community stability.Network histograms and universality of blockmodel approximation.Combined node and link partitions method for finding overlapping communities in complex networks.Predictive analytics of environmental adaptability in multi-omic network models.Spectra of weighted scale-free networksPredicting the epidemic threshold of the susceptible-infected-recovered model.Phase transitions in semidefinite relaxations.Block models and personalized PageRankThe ground truth about metadata and community detection in networks.A new multi-scale method to reveal hierarchical modular structures in biological networks.Using higher-order Markov models to reveal flow-based communities in networks.Inferring the mesoscale structure of layered, edge-valued, and time-varying networks.Multiple phases in modularity-based community detection.Leveraging percolation theory to single out influential spreaders in networks.Influence maximization in complex networks through optimal percolation.Message-passing approach for recurrent-state epidemic models on networks.Universal phase transition in community detectability under a stochastic block model.Finding communities in sparse networks.Higher-order organization of complex networks.The geography of spatial synchrony.Finite-size analysis of the detectability limit of the stochastic block model.Spectral estimation of the percolation transition in clustered networks.Complete diagrammatics of the single-ring theorem.Eigenvector centrality for geometric and topological characterization of porous media.Spectral partitioning in equitable graphs.Nonbacktracking expansion of finite graphs.Detectability thresholds of general modular graphs.Eigenvector dynamics under perturbation of modular networks.Observability transition in real networks.Phase transitions in semisupervised clustering of sparse networks.Multiway spectral community detection in networks.Nonbacktracking operator for the Ising model and its applications in systems with multiple states.Percolation on sparse networks.Improving the performance of algorithms to find communities in networks.
P2860
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P2860
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年学术文章
@wuu
2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
@zh-my
2013年学术文章
@zh-sg
2013年學術文章
@yue
2013年學術文章
@zh
2013年學術文章
@zh-hant
name
Spectral redemption in clustering sparse networks.
@en
Spectral redemption in clustering sparse networks.
@nl
type
label
Spectral redemption in clustering sparse networks.
@en
Spectral redemption in clustering sparse networks.
@nl
prefLabel
Spectral redemption in clustering sparse networks.
@en
Spectral redemption in clustering sparse networks.
@nl
P2093
P2860
P356
P1476
Spectral redemption in clustering sparse networks.
@en
P2093
Cristopher Moore
Joe Neeman
Lenka Zdeborová
P2860
P304
20935-20940
P356
10.1073/PNAS.1312486110
P407
P577
2013-11-25T00:00:00Z