Physics Subject Headings - Physh
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Networks
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Metadata
Networks
More specific terms
NT1
↓
Artificial neural networks
NT1
↓
Biological network methods
►
▼
NT2
↓
In-vitro methods
NT2
↓
In-vivo methods
NT1
↓
Bipartite graphs
NT1
↓
Collective behavior in networks
NT1
↓
Critical phenomena
►
▼
NT2
↓
Critical exponents
NT2
↓
Critical field
NT1
↓
Deterministic networks
NT1
↓
Diffusion & random walks
NT1
↓
Directed networks
NT1
↓
Evolving networks
NT1
↓
Exponential networks
NT1
↓
Homogeneous networks
►
▼
NT2
↓
Lattices
NT2
↓
Poisson degree distribution networks
NT1
↓
Interconnected & interdependent networks
NT1
↓
Ising model
►
▼
NT2
↓
Random field Ising model
NT1
↓
Monte Carlo methods
►
▼
NT2
↓
Entropic sampling methods
NT2
↓
Heatbath algorithm
NT2
↓
Hybrid Monte Carlo algorithm
NT2
↓
Langevin algorithm
NT2
↓
Metropolis algorithm
NT2
↓
Path-integral Monte Carlo
NT2
↓
Quantum Monte Carlo
►
▼
NT3
↓
Diffusion quantum Monte Carlo
NT2
↓
Simulated annealing
NT1
↓
Multilayer & multiplex networks
NT1
↓
Network evolution
►
▼
NT2
↓
Competition
NT2
↓
Fitness
NT2
↓
Preferential attachment
NT1
↓
Network formation & growth
NT1
↓
Network Models
►
▼
NT2
↓
Barabasi-Albert model
NT2
↓
Collective behavior models
►
▼
NT3
↓
Consensus & non-consensus models
NT3
↓
Decision making models
NT3
↓
Game theory models
NT3
↓
Prisoner's Dilemma
NT3
↓
Threshold & cascade models
NT3
↓
Voter model
NT2
↓
Evolving network models
NT2
↓
Fitness models
NT2
↓
Preferential attachment models
NT2
↓
Price's model
NT2
↓
Small-world model
NT2
↓
Vertex copying models
NT2
↓
Watts-Strogatz model
NT1
↓
Network optimization
►
▼
NT2
↓
Network flow optimization
►
▼
NT3
↓
Preferential attachment
NT1
↓
Network phase transitions
►
▼
NT2
↓
Continuous phase transition
NT2
↓
Discontinuous phase transition
NT2
↓
Percolation phase transition
►
▼
NT3
↓
Continuous percolation transition
NT3
↓
Discontinuous percolation transition
NT2
↓
Synchronization transition
NT2
↓
Topological phase transition
NT1
↓
Network searches
►
▼
NT2
↓
Exhaustive network search
NT2
↓
Guided network search
NT2
↓
Network navigation
NT1
↓
Network stability
►
▼
NT2
↓
Attacks on networks
►
▼
NT3
↓
Random attacks
NT3
↓
Targeted attacks
NT2
↓
Cascades
NT2
↓
Network resilience
NT2
↓
Robustness
NT1
↓
Network structure
►
▼
NT2
↓
Clustering
NT2
↓
Community structure
NT2
↓
Cycles
NT2
↓
Degree correlations
NT2
↓
Degree distributions
NT1
↓
Networks Analysis Tools
►
▼
NT2
↓
Block models
NT2
↓
Neuronal network models
►
▼
NT3
↓
Compartmental model
NT3
↓
Hodgkin-Huxley model
NT3
↓
Hopfield model
NT3
↓
Integrate-and-fire model
►
▼
NT4
↓
Exponential integrate-and-fire model
NT4
↓
Leaky integrate-and-fire model
NT3
↓
Spiking neuron models
NT3
↓
Synaptic transmission model
NT2
↓
Phase oscillator models
►
▼
NT3
↓
Kuramoto model
NT2
↓
Spreading models
►
▼
NT3
↓
SIR model
NT3
↓
SIRS model
NT3
↓
SIS model
►
▼
NT4
↓
Epidemic spreading
NT4
↓
Rumor spreading
NT2
↓
Topological tools
►
▼
NT3
↓
Assortativity
NT3
↓
Betweenness
NT3
↓
Centrality
NT3
↓
Clustering coefficient & triangles
NT3
↓
Community detection algorithms
►
▼
NT4
↓
Evolving communities
NT4
↓
Non-overlapping communities
NT4
↓
Overlapping communities
NT3
↓
Cycles
NT3
↓
Degree distributions
NT3
↓
Paths
NT1
↓
Neuroimaging
►
▼
NT2
↓
Electroencephalography
NT2
↓
Functional magnetic resonance imaging
NT2
↓
Magnetic resonance imaging
NT1
↓
Neuronal networks
►
▼
NT2
↓
Learning
NT2
↓
Memory
NT2
↓
Neuronal network activity
►
▼
NT3
↓
Inhibitory synapses
NT3
↓
Neuronal avalanches
NT3
↓
Spiking neurons
NT2
↓
Neuroplasticity
NT1
↓
Percolation theory
►
▼
NT2
↓
Correlated percolation
NT2
↓
Explosive percolation
NT2
↓
Uncorrelated percolation
NT1
↓
Potts model
NT1
↓
Real world networks
►
▼
NT2
↓
Biological networks
►
▼
NT3
↓
Brain network
NT3
↓
Cardiovascular networks
NT3
↓
Cortical networks
NT3
↓
Gene regulatory networks
NT3
↓
Neuronal networks
►
▼
NT4
↓
Learning
NT4
↓
Memory
NT4
↓
Neuronal network activity
►
NT4
↓
Neuroplasticity
NT3
↓
Protein interaction networks
NT3
↓
Signaling networks
NT3
↓
Stem cell networks
NT2
↓
Chemical networks
NT2
↓
Ecological networks
►
▼
NT3
↓
Food webs
NT2
↓
Financial networks
►
▼
NT3
↓
Trade networks
NT2
↓
Geophysical networks
►
▼
NT3
↓
Climate networks
NT3
↓
River networks
NT2
↓
Social networks
►
▼
NT3
↓
Language networks
NT3
↓
Online social networks
NT2
↓
Technological networks
►
▼
NT3
↓
Communication networks
►
▼
NT4
↓
Wireless communication networks
NT3
↓
Internet
NT3
↓
Power grid networks
NT3
↓
World wide web
NT2
↓
Transportation networks
►
▼
NT3
↓
Flight networks
NT3
↓
Road networks
NT1
↓
Renormalization
NT1
↓
Scale free & inhomogeneous networks
►
▼
NT2
↓
Barabasi-Albert network
NT1
↓
Self-organized criticality
NT1
↓
Self-similarity
NT1
↓
Small-world networks
►
▼
NT2
↓
Watts-Strogatz network
NT1
↓
Spreading
►
▼
NT2
↓
Epidemic
►
▼
NT3
↓
Epidemic evolution
NT3
↓
Epidemic growth
NT3
↓
Epidemic prevalence
NT2
↓
Rumor
►
▼
NT3
↓
Rumor evolution
NT3
↓
Rumor growth
NT3
↓
Rumor prevalence
NT1
↓
Stochastic networks
►
▼
NT2
↓
Erdos-Renyi graph
NT2
↓
Random graphs
NT1
↓
Synchronization
►
▼
NT2
↓
Chimera states
NT1
↓
Traffic
►
▼
NT2
↓
Transportation
NT1
↓
Transport in networks
►
▼
NT2
↓
Network diffusion
NT2
↓
Network flow
NT1
↓
Tree network
NT1
↓
Triangular network
NT1
↓
Uncorrelated network
NT1
↓
Weighted networks
NT1
↓
XY model
Date of creation
14-Sep-2018
Modified
15-Sep-2018
Accepted term
14-Sep-2018
Descendant terms
154
ARK
ark:/99152/t30krd5gmvpmo7
More specific terms
44
Alternative terms
0
Related terms
0
Notes
0
Metadata
BS8723-5
DC
MADS
SKOS-Core
VDEX
XTM
Zthes
JSON
JSON-LD
Search
Central terms
Network Models
Real world networks
Network structure
Network phase transitions
Networks Analysis Tools
Network evolution
Network stability
Percolation theory
Network searches
Neuroimaging