Scaling and percolation in the small-world network model.
about
Percolation centrality: quantifying graph-theoretic impact of nodes during percolation in networksCascading failures in spatially-embedded random networksRandom geometric graphsEfficient network reconstruction from dynamical cascades identifies small-world topology of neuronal avalanchesAssessing experimentally derived interactions in a small world.Multiscale, resurgent epidemics in a hierarchical metapopulation model.Geographic routing in social networksA simple model of global cascades on random networks.A lattice model for influenza spreadingSelf-healing networks: redundancy and structure.Evolutionary game dynamics in populations with heterogenous structures.Emergence of blind areas in information spreading.Mandala networks: ultra-small-world and highly sparse graphs.An agent-based epidemic simulation of social behaviors affecting HIV transmission among Taiwanese homosexuals.Link removal for the control of stochastically evolving epidemics over networks: a comparison of approachesInfectious disease and group size: more than just a numbers game.Multiple Lattice Model for Influenza Spreading.Social network architecture and the maintenance of deleterious cultural traits.Power-Hop: A Pervasive Observation for Real Complex Networks.Persistent Homology in Sparse Regression and Its Application to Brain Morphometry.The role of light in Chagas disease infection risk in ColombiaForecasting and control policy assessment for the Ebola virus disease (EVD) epidemic in Sierra Leone using small-world networked model simulationsNetworks and epidemic models.Complex networks and simple models in biology.Small-World Propensity and Weighted Brain NetworksSmall-world brain networks.Finding the probability of infection in an SIR network is NP-HardRobustness of spatial micronetworks.Statistical mechanical load balancer for the web.Phase transitions in cooperative coinfections: Simulation results for networks and lattices.Effects of local and global network connectivity on synergistic epidemics.Meta-food-chains as a many-layer epidemic process on networks.Statistical complexity is maximized in a small-world brain.Network Anatomy Controlling Abrupt-like Percolation TransitionUniversal robustness characteristic of weighted networks against cascading failure.Counteracting structural errors in ensemble forecast of influenza outbreaks.Synchronization transition of identical phase oscillators in a directed small-world network.Consciousness related neural events viewed as brain state space transitions.Adaptive coupling optimized spiking coherence and synchronization in Newman-Watts neuronal networks.Percolation and epidemics in a two-dimensional small world.
P2860
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P2860
Scaling and percolation in the small-world network model.
description
1999 nî lūn-bûn
@nan
1999年の論文
@ja
1999年学术文章
@wuu
1999年学术文章
@zh
1999年学术文章
@zh-cn
1999年学术文章
@zh-hans
1999年学术文章
@zh-my
1999年学术文章
@zh-sg
1999年學術文章
@yue
1999年學術文章
@zh-hant
name
Scaling and percolation in the small-world network model.
@en
Scaling and percolation in the small-world network model.
@nl
type
label
Scaling and percolation in the small-world network model.
@en
Scaling and percolation in the small-world network model.
@nl
prefLabel
Scaling and percolation in the small-world network model.
@en
Scaling and percolation in the small-world network model.
@nl
P2860
P356
P1433
P1476
Scaling and percolation in the small-world network model.
@en
P2093
P2860
P304
P356
10.1103/PHYSREVE.60.7332
P407
P433
P577
1999-12-01T00:00:00Z
P698
P818
cond-mat/9904419