l_comp: Retrieve largest component

In memnet: Network Tools for Memory Research

Description

Retrieves the largest component. In case of equally sized components the first is component is retrieved.

Usage

l_comp(adj, weights = NULL, mode = "undirected", igraph = FALSE)

Arguments

adj	numeric matrix representing the adjacency matrix.
weights	numeric vector of edge weights. Optional.
mode	character, either "directed" or "undirected", specifying whether the network should be interepeted as directed or undirected. Defaults to "undirected".
igraph	logical specifying whether the output should be of class "igraph".

Value

A list containing the, now, named adjacency matrix and a numeric value indicating the size of the largest component relative to to the entire graph.

Examples

# get fluency data
data(animal_fluency)

# edge list of fluency graph
edge_list = threshold_graph(animal_fluency[1:10])

# get adjacency matrix
adj = edg_to_adj(edge_list)

# get largest component
l_comp(adj)

memnet documentation built on May 2, 2019, 9:35 a.m.