| measure.dynamics {igraph} | R Documentation |
These functions assume a simple evolving network model and measure the functional form of a so-called attractiveness function governing the evolution of the network.
measure.dynamics.idage(graph, agebins=300, iterations=5, sd=FALSE,
estind=NULL, estage=NULL)
graph |
The graph of which the evolution is quantified. It is assumed that the vertices were added in increasing order of vertex id. |
agebins |
Numeric constant, the number of bins to use for measuring aging. |
iterations |
Numeric constant, number of iterations to perform while calculating the attractiveness and the total attractiveness function. |
sd |
Logical, should an estimation of the error also calculated. |
estind |
|
estage |
The functions should be considered as experimental, so no detailed documentation yet. Sorry.
A named list with components akl (the attractiveness function),
st (total attractiveness versus time), sd (only if the
sd arguments was TRUE, the estimation of the error for
the akl values).
Gabor Csardi csardi@rmki.kfki.hu
g <- barabasi.game(10000) mes <- measure.dynamics.idage(g, 20, sd=TRUE)