network_summary {NetFACS} | R Documentation |
Calculates node level centrality measures from the network object
network_summary(netfacs.graph)
network.summary(netfacs.graph)
netfacs.graph |
igraph network object resulting from netfacs_network function |
Function returns a data frame with the element, its 'strength' (mean probability of co-occurrence), 'eigenvector' centrality (connection to other highly connected elements), 'betweenness' centrality (number of connections running through the element), and a number of other network measures
data(emotions_set)
angry.face <- netfacs(
data = emotions_set[[1]],
condition = emotions_set[[2]]$emotion,
test.condition = "anger",
ran.trials = 10,
combination.size = 2
)
anger.net <- netfacs_network(
netfacs.data = angry.face,
link = "unweighted",
significance = 0.01,
min.count = 1
)
network_summary(anger.net)