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Universal power laws in the threshold network model: A theoretical analysis based on extreme value theory
A. Fujihara
*
,
M. Uchida
, H. Miwa
*
Corresponding author for this work
Research output
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Contribution to journal
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Article
›
peer-review
3
Citations (Scopus)
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Dive into the research topics of 'Universal power laws in the threshold network model: A theoretical analysis based on extreme value theory'. Together they form a unique fingerprint.
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Mathematics
Threshold Model
100%
Extreme Value Theory
94%
Network Model
85%
Power Law
73%
Theoretical Analysis
70%
Weight Function
68%
Clustering Coefficient
54%
Generalized Pareto Distribution
51%
Range of data
45%
Degree Distribution
44%
Weight Distribution
44%
Identically distributed
34%
Distribution Function
31%
Prediction
29%
Random variable
26%
Numerical Results
24%
Vertex of a graph
20%
Theorem
14%
Physics & Astronomy
thresholds
45%
random variables
22%
theorems
15%
distribution functions
14%
coefficients
10%
predictions
9%