This function is deprecated. Please see overlap_network
instead
overlap.network(
netfacs.list,
min.prob = 0,
min.count = 5,
significance = 0.01,
specificity = 0.1,
ignore.element = NULL,
clusters = FALSE,
plot.bubbles = FALSE
)list of objects resulting from netfacs or
netfacs_multiple
minimum conditional probability that should be shown in the graph
minimum number of times that a combination should occur before being included in the graph
sets the level of significance that combinations have to pass before added to the network
for the 'reduced' graph, select only elements that surpass this context specificity value
string vector, can be used to exclude certain elements when creating the plots
boolean; if TRUE, the cluster_fast_greedy algorithm is used to detect underlying community structure, based on the occurrence probability network
if TRUE, then the nodes in the network plots will be surrounded by bubbles; if FALSE, the edges connect the names directly