Generalizations of the clustering coefficient to weighted complex networks.
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Mapping human whole-brain structural networks with diffusion MRIMathematical Formulation of Multilayer NetworksA spectral graph regression model for learning brain connectivity of Alzheimer's diseaseEffects of deception in social networksStatistics of weighted brain networks reveal hierarchical organization and Gaussian degree distributionAssociation of structural global brain network properties with intelligence in normal aging.Gender differences in the structural connectome of the teenage brain revealed by generalized q-sampling MRI.Efficient mitigation strategies for epidemics in rural regions.Abnormal reorganization of functional cortical small-world networks in focal hand dystoniaStatistical inference for valued-edge networks: the generalized exponential random graph model.The brain as a complex system: using network science as a tool for understanding the brain.Analyzing complex functional brain networks: Fusing statistics and network science to understand the brain(*†)Improved diagnosis in children with partial epilepsy using a multivariable prediction model based on EEG network characteristics.Optical imaging of resting-state functional connectivity in a novel arterial stiffness model.Generalization of clustering coefficients to signed correlation networks.Does human migration affect international trade? A complex-network perspectiveModeling the Role of Relationship Fading and Breakup in Social Network Formation.Abnormal wiring of the connectome in adults with high-functioning autism spectrum disorder.Small-World Propensity and Weighted Brain NetworksStructure, Function, and Propagation of Information across Living Two, Four, and Eight Node Degree Topologies.Small Worldness in Dense and Weighted ConnectomesFragmenting networks by targeting collective influencers at a mesoscopic level.Think locally, act locally: detection of small, medium-sized, and large communities in large networks.Fluid intelligence and brain functional organization in aging yoga and meditation practitioners.Spatial network surrogates for disentangling complex system structure from spatial embedding of nodes.Dynamic graph metrics: Tutorial, toolbox, and tale.Multiplex visibility graphs to investigate recurrent neural network dynamics.The structure and resilience of financial market networks.A protein network descriptor server and its use in studying protein, disease, metabolic and drug targeted networks.Empirical analysis of Internet telephone network: from user ID to phone.World-trade web: topological properties, dynamics, and evolution.A network of discrete events for the representation and analysis of diffusion dynamics.Dynamics of deceptive interactions in social networks.Eigenvalue spectra of spatial-dependent networks.Machine Learning Classification Combining Multiple Features of A Hyper-Network of fMRI Data in Alzheimer's Disease.Automatic Identification of Character Types from Film Dialogs.Surrogate-assisted identification of influences of network construction on evolving weighted functional networks.Effects of threshold on the topology of gene co-expression networks.Patterns of coevolving amino acids unveil structural and dynamical domains.Early life social stress and resting state functional connectivity in postpartum rat anterior cingulate circuits.
P2860
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P2860
Generalizations of the clustering coefficient to weighted complex networks.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
Generalizations of the clustering coefficient to weighted complex networks.
@en
Generalizations of the clustering coefficient to weighted complex networks.
@nl
type
label
Generalizations of the clustering coefficient to weighted complex networks.
@en
Generalizations of the clustering coefficient to weighted complex networks.
@nl
prefLabel
Generalizations of the clustering coefficient to weighted complex networks.
@en
Generalizations of the clustering coefficient to weighted complex networks.
@nl
P2093
P2860
P1433
P1476
Generalizations of the clustering coefficient to weighted complex networks
@en
P2093
Jari Saramäki
Jukka-Pekka Onnela
János Kertész
Kimmo Kaski
P2860
P304
P356
10.1103/PHYSREVE.75.027105
P407
P433
P50
P577
2007-02-23T00:00:00Z
P698
P818
cond-mat/0608670