sim.rand.graph.clust

An <code>igraph</code> graph object from which null graphs are simulated

The clustering measure (default: transitivity)

The maximum number of iterations to perform (default: 100)

max.iters

This function will simulate a random graph with a given degree sequence and
clustering coefficient. This function calls <a rd-options="" href="/link/choose.edges?package=brainGraph&version=1.0.0" data-mini-rdoc="brainGraph::choose.edges">choose.edges</a> to decide
which edges will be re-wired.

A set of tools for performing graph theory analysis of brain MRI
data. It is best suited to data from a Freesurfer analysis (cortical
thickness, volumes, local gyrification index, surface area), but also works
with e.g., tractography data from FSL and fMRI data from DPABI. It contains
a graphical user interface for graph visualization and data exploration and
several functions for generating useful figures.

Christopher G Watson

brainGraph

Graph Theory Analysis of Brain MRI Data

sim.rand.graph.clust function

This function will simulate a random graph with a given degree sequence and
clustering coefficient. This function calls <a rd-options='' href='choose.edges'>choose.edges</a> to decide
which edges will be re-wired.

sim.rand.graph.clust: Simulate a random graph with given degree sequence and clustering.

Description

Usage

Arguments

Value

References

See Also