Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
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Random Walks on Complex NetworksUniversal Behavior of Load Distribution in Scale-Free NetworksThe worldwide air transportation network: Anomalous centrality, community structure, and cities' global roles.The architecture of complex weighted networksHuman diffusion and city influenceRandom graphs with arbitrary degree distributions and their applicationsLarge-scale topological and dynamical properties of the InternetExact scaling properties of a hierarchical network modelTopology of large-scale engineering problem-solving networksStatistically validated networks in bipartite complex systemsIsing-like dynamics in large-scale functional brain networksUsing the topology of metabolic networks to predict viability of mutant strainsComplexity of the international agro-food trade network and its impact on food safetyBiclique communitiesUsing network analysis to study behavioural phenotypes: an example using domestic dogs.Two betweenness centrality measures based on Randomized Shortest PathsThe Matthew effect in empirical dataControlling centrality in complex networksNetwork integration and graph analysis in mammalian molecular systems biologyAn analysis of the abstracts presented at the annual meetings of the Society for Neuroscience from 2001 to 2006.Tuning clustering in random networks with arbitrary degree distributions.Network deconvolution as a general method to distinguish direct dependencies in networksAutomatic Segmentation of Mechanically Inhomogeneous Tissues Based on Deformation Gradient JumpAllosteric regulation of the Hsp90 dynamics and stability by client recruiter cochaperones: protein structure network modelingStructure-based network analysis of activation mechanisms in the ErbB family of receptor tyrosine kinases: the regulatory spine residues are global mediators of structural stability and allosteric interactions.Improving accuracy of protein contact prediction using balanced network deconvolution.Improving Management of Green Retrofits from a Stakeholder Perspective: A Case Study in China.Mesoscopic structures reveal the network between the layers of multiplex data sets.Re-analysis of protein data reveals the germination pathway and up accumulation mechanism of cell wall hydrolases during the radicle protrusion step of seed germination in Podophyllum hexandrum- a high altitude plant.The simultaneous evolution of author and paper networksA methodology for the structural and functional analysis of signaling and regulatory networks.An automatic method to generate domain-specific investigator networks using PubMed abstracts.Methodology capture: discriminating between the "best" and the rest of community practiceAn in silico method for detecting overlapping functional modules from composite biological networksThe integrated analysis of metabolic and protein interaction networks reveals novel molecular organizing principles.Identifying disease-specific genes based on their topological significance in protein networks.Directed mammalian gene regulatory networks using expression and comparative genomic hybridization microarray data from radiation hybridsExploring biological network structure with clustered random networks.Differences in human and chimpanzee gene expression patterns define an evolving network of transcription factors in brainMapping the evolution of scientific fields
P2860
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P2860
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
description
2001 nî lūn-bûn
@nan
2001 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
@ast
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
@en
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
@nl
type
label
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
@ast
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
@en
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
@nl
prefLabel
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
@ast
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
@en
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
@nl
P921
P3181
P1433
P1476
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
@en
P1922
Using computer databases of ...... in each of these disciplines.
@en
P3181
P356
10.1103/PHYSREVE.64.016132
P407
P577
2001-06-28T00:00:00Z
P698
P818
cond-mat/0011144