about
Distinct types of eigenvector localization in networksNetwork topology reveals key cardiovascular disease genesLocating influential nodes in complex networksInhibiting diffusion of complex contagions in social networks: theoretical and experimental resultsA long-time limit for world subway networksMeasuring the potential of individual airports for pandemic spread over the world airline network.Interactive network analytical tool for instantaneous bespoke interrogation of food safety notifications.Competing activation mechanisms in epidemics on networksStructural Connectivity Fingerprints Predict Cortical Selectivity for Multiple Visual Categories across Cortex.Systems biology in the context of big data and networks.Functional integrative levels in the human interactome recapitulate organ organization.A bio-inspired methodology of identifying influential nodes in complex networksInfluence of wiring cost on the large-scale architecture of human cortical connectivity.Worldwide food recall patterns over an eleven month period: a country perspective.Automatic network fingerprinting through single-node motifs.Network architecture of the long-distance pathways in the macaque brain.Dimensionality of social networks using motifs and eigenvalues.Beyond statistical significance: implications of network structure on neuronal activity.Robust detection of hierarchical communities from Escherichia coli gene expression data.The Critical Periphery in the Growth of Social Protests.Detection of the elite structure in a virtual multiplex social system by means of a generalised K-coreCooperation in health: mapping collaborative networks on the web.An innovative influenza vaccination policy: targeting last season's patients.Evolution characteristics of the network core in the FacebookExtraction of temporal networks from term co-occurrences in online textual sources.The Minimal k-Core Problem for Modeling k-Assemblies.Improving the accuracy of the k-shell method by removing redundant links: From a perspective of spreading dynamicsProtein complex prediction for large protein protein interaction networks with the Core&Peel methodRanking of critical species to preserve the functionality of mutualistic networks using the k-core decompositionLocating influential nodes via dynamics-sensitive centrality.Network structure and the risk for HIV transmission among rural drug users.Factors associated with high-frequency illicit methadone use among rural Appalachian drug users.Iterative Neighbour-Information Gathering for Ranking Nodes in Complex Networks.Resilience and rewiring of the passenger airline networks in the United States.A journal-level analysis of Health Communication.Computational analysis of protein interaction networks for infectious diseases.Complex Network Theory Applied to the Growth of Kuala Lumpur's Public Urban Rail Transit Network.Modeling structure and resilience of the dark network.Leveraging percolation theory to single out influential spreaders in networks.Exploring the associations of host genes for viral infection revealed by genome-wide RNAi and virus-host protein interactions.
P2860
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P2860
description
im September 1983 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована у вересні 1983
@uk
name
Network structure and minimum degree
@en
Network structure and minimum degree
@nl
type
label
Network structure and minimum degree
@en
Network structure and minimum degree
@nl
prefLabel
Network structure and minimum degree
@en
Network structure and minimum degree
@nl
P1433
P1476
Network structure and minimum degree
@en
P2093
Stephen B. Seidman
P304
P356
10.1016/0378-8733(83)90028-X
P577
1983-09-01T00:00:00Z