#find modularity
#net = Network(G)
#tls = net.get_trophic_levels()
#part = community.best_partition(G)
#IG = igr.read_graphml(graphml_file)
IG = igr.load(graphml_file)
IG.to_undirected() # = IG0.to_undirected()
membs = IG.community_multilevel()
mod = IG.modularity(membs)
#mod = modularity(part, G)
print("Modularity:")
print(mod)
print(IG.transitivity_undirected())
print(Net.connectance())
Net.get_trophic_levels()
Net.find_trophic_positions()
#print(Net.omnivory())
print(Net.generality_vulnerability_sd())
print(Net.maximum_similarity())
gsd, vsd = Net.generality_vulnerability_sd()
all_results[0,0] = G.number_of_nodes() #/ 120.0 Now normalising all elements
all_results[0,1] = Net.connectance()
all_results[0,2] = mod
all_results[0,3] = IG.transitivity_undirected()
all_results[0,4] = gsd
all_results[0,5] = vsd
all_results[0,6] = Net.maximum_similarity()
