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)