View source: R/network_summary.R
network_summary | 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)
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