Analysis of the structure of complex networks at different resolution levels

doi:10.1088/1367-2630/10/5/053039

New Journal of Physics

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New Journal of Physics Volume 10 May 2008 Create an alert RSS this journal

A Arenas et al 2008 New J. Phys. 10 053039 doi:10.1088/1367-2630/10/5/053039

Analysis of the structure of complex networks at different resolution levels

A Arenas^1,2,3,4, A Fernández¹ and S Gómez¹

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Abstract References Cited By

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New Journal of Physics

New Journal of Physics

Analysis of the structure of complex networks at different resolution levels

Modularity-based graph partitioning using conditional expected models

Replica inference approach to unsupervised multiscale image segmentation

Partitioning networks into communities by message passing

Limits of modularity maximization in community detection

Communities, modules and large-scale structure in networks

Criterions for locally dense subgraphs

Spectral properties of directed random networks with modular structure

Detecting hidden spatial and spatio-temporal structures in glasses and complex physical systems by multiresolution network clustering

Hierarchical organization of brain functional networks during visual tasks

Narrow scope for resolution-limit-free community detection

Tolerating the community detection resolution limit with edge weighting

Community detection in graphs using singular value decomposition

Density-based shrinkage for revealing hierarchical and overlapping community structure in networks

Mesoscopic analysis of networks: Applications to exploratory analysis and data clustering

Non-traditional spectral clustering algorithms for the detection of community structure in complex networks: a comparative analysis

Fuzzy overlapping communities in networks

Spectral graph analysis of modularity and assortativity

Complexity versus modularity and heterogeneity in oscillatory networks: Combining segregation and integration in neural systems

Line graphs of weighted networks for overlapping communities

Covariance, correlation matrix, and the multiscale community structure of networks

Random matrix analysis of localization properties of gene coexpression network

Local resolution-limit-free Potts model for community detection

Performance of modularity maximization in practical contexts

Loops and multiple edges in modularity maximization of networks

Edge ratio and community structure in networks

Community detection in graphs

Coarse-grained diffusion distance for community structure detection in complex networks

Spectral methods for the detection of network community structure: a comparative analysis

Eigenspaces of networks reveal the overlapping and hierarchical community structure more precisely

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Collectively optimal routing for congested traffic limited by link capacity

Spectral analysis of deformed random networks

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Iterated tabu search for identifying community structure in complex networks

Dynamic communities in multichannel data: An application to the foreign exchange market during the 2007–2008 credit crisis

Analysis of community structure in networks of correlated data

Multiresolution community detection for megascale networks by information-based replica correlations

Line graphs, link partitions, and overlapping communities

Generic aspects of complexity in brain imaging data and other biological systems

Communities, knowledge creation, and information diffusion

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Revealing network communities through modularity maximization by a contraction–dilation method

Detecting the overlapping and hierarchical community structure in complex networks

Seeding the Kernels in graphs: toward multi-resolution community analysis

Improved community structure detection using a modified fine-tuning strategy

Generalized strength of weighted scale-free networks

Fast unfolding of communities in large networks

Detecting modules in dense weighted networks with the Potts method

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