fit_barabasi_power: Use input graph to estimate power of preferential attachment...
In robertness/lucy: Really useful things done with graphs.
Description
Usage
Arguments
Value
Description
Use input graph to estimate power of preferential attachment for Barabasi-Albert algorithm.
Fits a power law to the input graph and returns the value to use as the power of
preferential attachment in a Barabasi-Albert simulation of a scale-free network. This
is the 'power' argument in igraph's 'barabasi.game" function.
Usage
1
fit_barabasi_power(g, mle = FALSE)
Arguments
g
an input igraph object, the power law will be simulated from this object.
mle
if TRUE, estimate the power value of the out-degree distribution using mle via
BFGS optimization. If FALSE, use the 'plfit' implementation (see the power.law.fit function
in igraph). Default is FALSE. FALSE option will generate a warning if a bad fit is detected
but the TRUE option will not.
Value
a numeric value.
robertness/lucy documentation built on May 27, 2019, 10:32 a.m.
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Description Usage Arguments Value
Description
Use input graph to estimate power of preferential attachment for Barabasi-Albert algorithm. Fits a power law to the input graph and returns the value to use as the power of preferential attachment in a Barabasi-Albert simulation of a scale-free network. This is the 'power' argument in igraph's 'barabasi.game" function.
Usage
1 | fit_barabasi_power(g, mle = FALSE)
|
Arguments
g |
an input igraph object, the power law will be simulated from this object. |
mle |
if TRUE, estimate the power value of the out-degree distribution using mle via BFGS optimization. If FALSE, use the 'plfit' implementation (see the power.law.fit function in igraph). Default is FALSE. FALSE option will generate a warning if a bad fit is detected but the TRUE option will not. |
Value
a numeric value.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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