Calculates node level centrality measures from the network object
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[], condition = emotions_set[]$emotion, test.condition = "anger", ran.trials = 100, combination.size = 2 ) anger.net <- netfacs.network( netfacs.data = angry.face, link = "unweighted", significance = 0.01, min.count = 1, min.prob = 0, min.specificity = 0, ignore.element = NULL ) network.summary(anger.net)
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