about
Percolation centrality: quantifying graph-theoretic impact of nodes during percolation in networksNodes having a major influence to break cooperation define a novel centrality measure: game centrality.Network epidemiology and plant trade networksUnderstanding the influence of all nodes in a networkFinding near-optimal groups of epidemic spreaders in a complex networkSpotting Epidemic Keystones by R0 Sensitivity Analysis: High-Risk Stations in the Tokyo Metropolitan Area.Competition among networks highlights the power of the weak.Using LTI Dynamics to Identify the Influential Nodes in a NetworkIdentifying causal gateways and mediators in complex spatio-temporal systems.The H-index of a network node and its relation to degree and coreness.Locating influential nodes via dynamics-sensitive centrality.Dynamic-Sensitive centrality of nodes in temporal networks.Prebiotic network evolution: six key parameters.Long-term variability of importance of brain regions in evolving epileptic brain networks.Which Brain Regions are Important for Seizure Dynamics in Epileptic Networks? Influence of Link Identification and EEG Recording Montage on Node Centralities.Communicability angles reveal critical edges for network consensus dynamics.Leveraging percolation theory to single out influential spreaders in networks.Using Network Dynamical Influence to Drive Consensus.Dynamics of link states in complex networks: the case of a majority rule.Multi-attribute integrated measurement of node importance in complex networks.How to predict community responses to perturbations in the face of imperfect knowledge and network complexity.Topological structure and the H index in complex networks.Dynamically induced cascading failures in power grids.Epidemic centrality — is there an underestimated epidemic impact of network peripheral nodes?Emergence of Influential Spreaders in Modified Rumor ModelsIs the Voter Model a Model for Voters?
P2860
Q21133778-D13DCD40-FC5F-4683-B56D-530928576EAAQ30351997-0357C8CB-1C6C-4E3E-9C43-C18E1EB574D2Q33685388-621AF499-C29D-4713-A4A6-BB5D71171825Q34465075-389D0992-A3B0-4F99-A307-B52E575B32ACQ35138193-FC793746-840D-4A6B-9849-D20739BFFD03Q36126519-EE720B28-0D22-4487-AAE3-86E2DDA18EC5Q36191414-C966B153-C3C5-4073-B05B-491F92D762B3Q36234580-7E943D26-D03A-4FD3-9429-46B27A9DC64AQ36250049-9F8BC1CA-0C14-46D8-A449-2000ADC0001AQ36511298-CC59DD3B-29F7-41C0-A3C3-B9E63937ADC5Q36611128-73353DDA-6C7B-46A6-9127-C6E2262F8AA9Q37620532-B1566A0D-3BFF-4D9E-82B9-567ADCD5F676Q38613603-C5FD1B3B-E7BF-4F9F-B6B4-D4FF7C3DA64FQ38813079-BBFDFEFB-B41B-4093-8DFA-07DC6C69358FQ39632668-2DC426F0-77A9-437B-B4BA-E20B29129B73Q40227937-E2A3D2DB-24F1-4970-9FFC-DC0DFA0B4520Q40613778-4A9029E4-E605-401B-B24E-86A97B7E3D7AQ41996147-D11DBD40-814E-46DF-A4DA-12A7086A7257Q47919409-09DB3806-246C-47EE-BB22-45C6136278C8Q50762797-43CCEA94-755F-4200-83DA-37813DAE0E44Q51498646-7E3A8CC7-51BB-4358-A3DA-10F36E02D477Q52701682-E54C6B73-FB81-418F-9E14-068BA72A0817Q55119482-A7E3EFD0-FFAE-4713-8962-2F56C99FA05EQ56486279-B8571BDA-65C6-436C-89B5-1156EE27A50EQ57083027-FB9C9EBC-3FB7-40D6-9408-B01016D8A140Q58672150-303FA5C6-59BA-41C0-A0AC-04616B0E9D25
P2860
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
A measure of individual role in collective dynamics.
@en
A measure of individual role in collective dynamics.
@nl
type
label
A measure of individual role in collective dynamics.
@en
A measure of individual role in collective dynamics.
@nl
prefLabel
A measure of individual role in collective dynamics.
@en
A measure of individual role in collective dynamics.
@nl
P2093
P2860
P356
P1433
P1476
A measure of individual role in collective dynamics
@en
P2093
Konstantin Klemm
M Ángeles Serrano
Maxi San Miguel
P2860
P2888
P356
10.1038/SREP00292
P407
P577
2012-02-29T00:00:00Z