Finding community structure in networks using the eigenvectors of matrices.
about
Mathematical Formulation of Multilayer NetworksA Comparative Analysis of Community Detection Algorithms on Artificial NetworksCombining epidemiological and genetic networks signifies the importance of early treatment in HIV-1 transmissionOral Samples as Non-Invasive Proxies for Assessing the Composition of the Rumen Microbial CommunityCardiac and respiratory patterns synchronize between persons during choir singingEvolution of networks for body plan patterning; interplay of modularity, robustness and evolvabilityControl efficacy of complex networks.Efficient and principled method for detecting communities in networksEfficient Monte Carlo and greedy heuristic for the inference of stochastic block modelsFriendship Concept and Community Network Structure among Elementary School and University StudentsAberrant functional connectome in neurologically asymptomatic patients with end-stage renal diseaseComprehensive Map of Molecules Implicated in ObesityConstructing, conducting and interpreting animal social network analysisPrognostic models in coronary artery disease: Cox and network approachesGRETNA: a graph theoretical network analysis toolbox for imaging connectomicsThe relative vertex clustering value--a new criterion for the fast discovery of functional modules in protein interaction networksToward link predictability of complex networksThe community structure of the global corporate networkClustering of High Throughput Gene Expression DataExploring statistical and population aspects of network complexityMarkov dynamics as a zooming lens for multiscale community detection: non clique-like communities and the field-of-view limitControlling centrality in complex networksSpecialization can drive the evolution of modularityAn information-theoretic framework for resolving community structure in complex networksNetwork deconvolution as a general method to distinguish direct dependencies in networksSpecP: A tool for spectral partitioning of protein contact graph.Cross-disciplinary detection and analysis of network motifs.Linking knowledge and action through mental models of sustainable agriculture.Community detection based on network communicability.Defecting or not defecting: how to "read" human behavior during cooperative games by EEG measurementsFunctionalization of a protosynaptic gene expression networkCD-Based Indices for Link Prediction in Complex NetworkScalable detection of statistically significant communities and hierarchies, using message passing for modularityAberrant cerebellar connectivity in motor and association networks in schizophrenia.Reconstructing propagation networks with temporal similarity.Multi-resolution community detection in massive networksCompetitive dynamics on complex networks.Identification of leader and self-organizing communities in complex networks.Rotation gene set testing for longitudinal expression data.The function of communities in protein interaction networks at multiple scales
P2860
Q21563918-C2FB0D2C-7973-4766-B068-E459E80D9ED4Q26779592-81D20815-8B41-4539-82F0-9E8B5B8748D6Q27316777-759A3EAF-DC0F-4C0C-87D3-941FA49DE52FQ27318164-E77DF156-9304-4FC4-8438-65DA8D336A98Q27319975-DC38380C-2824-4A09-B164-9130DB319F40Q27332327-531E546A-1572-4ECE-94EC-49C80029653FQ27339298-698DF394-655B-4CFA-A845-0CE74761E9E5Q27444508-240C533E-CB9D-4728-8427-7B1E24A88BBCQ27445228-E5DA9F61-4AE5-4BA5-8C4E-8DB6E56FBD80Q27928018-4E333DE8-BAAF-4E98-952F-CBA6E71CCBE4Q28544624-BA019C22-A26D-4004-98D1-B80C2B331C85Q28550240-768E6E1C-2558-4977-93DA-53157C15BEC3Q28598261-E3095B26-4A3B-4CD9-9235-CA5A5F243C56Q28646738-BA031861-1035-49C5-B55C-C022E59692E7Q28647817-102E6A9D-0E25-4B27-A99D-FCCBDCB0EDCEQ28652904-BD788A5F-8306-4E07-8CDC-0483A72155E4Q28653049-E18BAA93-1434-4E54-8C3C-2E21B2CB80B1Q28654515-8A3C523B-2BFC-4664-BC4E-0CAE0F7B484EQ28714213-69659027-A3E5-47F1-BA75-326A002C1592Q28730067-16B5A5BE-94FD-4284-B056-29FE47073376Q28731701-48E4FF40-7926-4727-AE80-D1F0A82CC290Q28732902-F5650784-623B-441C-AB9B-5573D243D1EBQ28748240-53921402-C846-45E9-85B6-E880AEE12208Q29035735-67F48EA5-8E3C-49A8-9D44-D4BD30E5E088Q30352074-449D6194-F081-4022-893C-C1C731EAF462Q30352153-82CE2983-E81E-4FCC-9325-6A5B885DCE4FQ30374747-0425DBCC-E90E-4349-9088-7B79F0F1F137Q30389454-E7328681-0ED8-464B-8B77-B223E52A74F3Q30401364-465CF2FD-DEB8-4F17-87A7-C38A8F20E72AQ30497528-120C15E2-46CB-4B13-9C4B-028A912A54FCQ30519460-C1757372-AD7F-4992-A61C-F105CD8501B8Q30570401-61080EDC-8E58-401C-AEF8-80C2380B8B6BQ30612188-EFBD99A1-3AB3-46BC-BD8F-7D2FA5F1558EQ30629084-0ECA6D78-D73A-43C1-ADCA-CF43137A1C71Q30654754-D5E37F3B-F10E-426F-9AEA-455AD83E0FE4Q30831814-5F0AAA79-E626-46C7-95B6-F5D4447BA40CQ30843537-9E83595B-53B4-4966-BD41-3147E3BA0FD5Q30850177-5F0A07F2-0F9B-45D4-882F-DCF839DEA8D6Q30854403-E4FA6E69-C845-4C25-BA6F-3C7C7BA5BD6AQ30986238-B34E35A8-9DE2-4028-BBDB-30F9E7921C38
P2860
Finding community structure in networks using the eigenvectors of matrices.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Finding community structure in networks using the eigenvectors of matrices.
@en
Finding community structure in networks using the eigenvectors of matrices.
@nl
type
label
Finding community structure in networks using the eigenvectors of matrices.
@en
Finding community structure in networks using the eigenvectors of matrices.
@nl
prefLabel
Finding community structure in networks using the eigenvectors of matrices.
@en
Finding community structure in networks using the eigenvectors of matrices.
@nl
P1433
P1476
Finding community structure in networks using the eigenvectors of matrices.
@en
P2093
P304
P356
10.1103/PHYSREVE.74.036104
P407
P433
P577
2006-09-11T00:00:00Z
P698
P818
physics/0605087