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The Network of Counterparty Risk: Analysing Correlations in OTC DerivativesReconstructing propagation networks with temporal similarity.Task-based core-periphery organization of human brain dynamicsEvolution characteristics of the network core in the FacebookUnifying Inference of Meso-Scale Structures in NetworksImproving the accuracy of the k-shell method by removing redundant links: From a perspective of spreading dynamicsA Fast and Efficient Algorithm for Mining Top-k Nodes in Complex Networks.Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition.Individual-level movement bias leads to the formation of higher-order social structure in a mobile group of baboons.Super-Spreader Identification Using Meta-Centrality.Multi-scale structure and topological anomaly detection via a new network statistic: The onion decomposition.Profiling core-periphery network structure by random walkers.Interplay of network dynamics and heterogeneity of ties on spreading dynamics.Surrogate-assisted identification of influences of network construction on evolving weighted functional networks.Accurate ranking of influential spreaders in networks based on dynamically asymmetric link weights.Emotions and Activity Profiles of Influential Users in Product Reviews Communities
P2860
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P2860
description
im August 2012 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в серпні 2012
@uk
name
Ak-shell decomposition method for weighted networks
@en
Ak-shell decomposition method for weighted networks
@nl
type
label
Ak-shell decomposition method for weighted networks
@en
Ak-shell decomposition method for weighted networks
@nl
prefLabel
Ak-shell decomposition method for weighted networks
@en
Ak-shell decomposition method for weighted networks
@nl
P50
P356
P1476
Ak-shell decomposition method for weighted networks
@en
P304
P356
10.1088/1367-2630/14/8/083030
P407
P577
2012-08-24T00:00:00Z