measure.dynamics: Measuring the driving force in evolving networks
Description
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.
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
Value
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).
Details
The functions should be considered as experimental, so no
detailed documentation yet. Sorry.