# NOT RUN {
# get fluency data
data(animal_fluency)
# edge lists of fluency graphs
edge_list = threshold_graph(animal_fluency)
# get adjacency matrices
adj = edg_to_adj(edge_list)
# get average shortest path length
aspl(adj)
# get corrected average shortest path length
aspl(adj, types = 'corrected')
# }
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