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Random sequential renormalization of networks: Application to critical trees
G. Bizhani, Sood Vishal, Maya Paczuski, Peter Grassberger
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Dive into the research topics of 'Random sequential renormalization of networks: Application to critical trees'. Together they form a unique fingerprint.
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Mathematics
Renormalization
100%
Fluctuations
15%
Star
14%
Vertex of a graph
13%
Scaling Theory
12%
Finite-size Scaling
12%
Mean-field Theory
11%
Critical region
11%
Scaling Behavior
11%
Random Trees
10%
Degree Distribution
9%
Crossover
9%
Diverge
9%
Power Law
8%
Leaves
7%
Random walk
7%
Radius
6%
Exponent
6%
Configuration
6%
Numerical Simulation
6%
Range of data
5%
Concepts
4%
Arbitrary
4%
Graph in graph theory
3%
Physics & Astronomy
hubs
57%
scaling
46%
stars
30%
fats
26%
random walk
23%
leaves
23%
crossovers
20%
exponents
17%
radii
13%
configurations
11%
simulation
8%