NetSim: Simulate a network from a point process or sequence

In spacejamr: Simulate Spatial Bernoulli Networks

Simulate a network from a point process or sequence

Description

Simulates a spatial Bernoulli network from a NetSim object using one of six probability law distributions.

Usage

NetSim(point_sim, sif, base_prob, scale, threshold, power)

Arguments

point_sim	a PointSim object
sif	the spatial interaction function to use. Use attenuated to use an attenuated power law; arctan to use an arctangent probability law; decay to use an exponential decay law; or logistic to use a logistic probability law. Default is a standard power law function.
base_prob	the theoretical probability that two nodes (points) with distance 0 share a tie. Default is 0.9.
scale	a coefficient to multiply the distance by. Default is 1.
threshold	if two node exceed this probability, they will be coded as having a tie. Default is 0.5.
power	the exponent at which tie probability decays. Default is -2.8.

Details

The algorithm proceeds in three steps. First, it calculates the distance between simulated points from a PointSim object. Then it calculates the distance between all pairs of points. Finally, it uses a spatial interaction function to calculate that any two point share a tie. If the threshold is exceeded, a tie is created.

Value

A network object of class 'NetSim' and 'igraph' that can be manipulated using the igraph' package.

Author(s)

Darren Colby
Email: [e-mail]

References

Butts, Carter T. Spatial models of large-scale interpersonal networks. Dissertation. (2002).

Examples

# Load spacejamr object
data("RI")

ri_points <- PointSim(points = 10, window = RI, seed = 42)
power_law <- NetSim(ri_points, base_prob = 0.92, scale = 1, threshold = 0.5,
                    power = -2.4)

spacejamr documentation built on April 2, 2022, 1:07 a.m.