measure.dynamics {igraph}R Documentation

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.

Usage

measure.dynamics.idage(graph, agebins=300, iterations=5, sd=FALSE,
                       estind=NULL, estage=NULL)

Arguments

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

Details

The functions should be considered as experimental, so no detailed documentation yet. Sorry.

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).

Author(s)

Gabor Csardi csardi@rmki.kfki.hu

Examples

g <- barabasi.game(10000)
mes <- measure.dynamics.idage(g, 20, sd=TRUE)

[Package igraph version 0.1.2 Index]