graph_tolerance: Random Tolerance Graph

In schochastics/levelnet: Methods to Analyze One-mode Projections of Two-mode Networks

Random Tolerance Graph

Description

Create a random tolerance graph. A tolerance graph is an interval graph, where nodes are only connected if the overlap is larger than a nodes tolerance level. These graphs are directed.

Usage

graph_tolerance(n, r = 2, sd = 0.5, tol = 0.5)

Arguments

n	number of nodes
r	radius (see details)
sd	standard deviation (see details)
tol	tolerance

Details

Tolerance graphs are created as follows. First, n random points x are created uniformly at random between 0 and 'r'. For each point, a value Y is created from a normal distribution with mean X and standard deviation is 'sd'. In this way, it is possible to control the density of the network. The larger 'r' and the larger 'sd' the more likely do intervals overlap. When overlaps are calculated, it is checked whether the overlap is larger than the tolerance of the node. If so, the edge is included.

Value

tolerance graph as igraph object and interval representation and tolerance as node attributes

Author(s)

David Schoch

See Also

[graph_interval,graph_indifference]

Examples

graph_tolerance(n = 10)

schochastics/levelnet documentation built on Feb. 3, 2023, 4:20 a.m.