A model of Internet topology using k-shell decomposition.
about
Cascades on correlated and modular random networksCoordinated evolution of the hepatitis C virusOnce the Internet can measure itselfLocating influential nodes in complex networksMeasuring multiple evolution mechanisms of complex networks.Reconstructing propagation networks with temporal similarity.A bio-inspired methodology of identifying influential nodes in complex networksAutomatic network fingerprinting through single-node motifs.Identification of important nodes in directed biological networks: a network motif approachSimilar pathogen targets in Arabidopsis thaliana and homo sapiens protein networks.Scalable and Axiomatic Ranking of Network Role Similarity.Social embeddedness in an online weight management programme is linked to greater weight loss.Extracting the globally and locally adaptive backbone of complex networks.Evolution characteristics of the network core in the FacebookPre-stimulus functional networks modulate task performance in time-pressured evidence gathering and decision-makingFinding Influential Spreaders from Human Activity beyond Network Location.Automated Identification of Core Regulatory Genes in Human Gene Regulatory NetworksThe Impact of Heterogeneous Thresholds on Social Contagion with Multiple Initiators.Structural diversity in social contagion.Integrative topological analysis of mass spectrometry data reveals molecular features with clinical relevance in esophageal squamous cell carcinoma.Improving the accuracy of the k-shell method by removing redundant links: From a perspective of spreading dynamicsUsing LTI Dynamics to Identify the Influential Nodes in a NetworkPredicting errors from reconfiguration patterns in human brain networks.Towards designing robust coupled networksTowards safer, better healthcare: harnessing the natural properties of complex sociotechnical systemsWiFi networks and malware epidemiology.Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks.Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition.Resilience and rewiring of the passenger airline networks in the United States.Core-periphery disparity in fractal behavior of complex networks.Social network fragmentation and community health.Structural controllability of unidirectional bipartite networksSuper-Spreader Identification Using Meta-Centrality.The dynamics of protest recruitment through an online network.The evolution of interdisciplinarity in physics research.Profiling core-periphery network structure by random walkers.Searching for superspreaders of information in real-world social media.Identifying influential directors in the United States corporate governance network.Random walk with priorities in communicationlike networks.The Core Diseasome.
P2860
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P2860
A model of Internet topology using k-shell decomposition.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
A model of Internet topology using k-shell decomposition.
@ast
A model of Internet topology using k-shell decomposition.
@en
A model of Internet topology using k-shell decomposition.
@nl
type
label
A model of Internet topology using k-shell decomposition.
@ast
A model of Internet topology using k-shell decomposition.
@en
A model of Internet topology using k-shell decomposition.
@nl
prefLabel
A model of Internet topology using k-shell decomposition.
@ast
A model of Internet topology using k-shell decomposition.
@en
A model of Internet topology using k-shell decomposition.
@nl
P2093
P2860
P356
P1476
A model of Internet topology using k-shell decomposition.
@en
P2093
Scott Kirkpatrick
Shai Carmi
Yuval Shavitt
P2860
P304
11150-11154
P356
10.1073/PNAS.0701175104
P407
P577
2007-06-22T00:00:00Z
P5875
P698
P818
cs/0607080