Commit a765a95a authored by Laurette Chardon's avatar Laurette Chardon
Browse files

Modifications qui seront validées : 

	modifié :         Clusterisation2D_RevueSyntSem21.py
	nouveau fichier : sec-fastgreedy2.png
	nouveau fichier : sec-walktrap2.png
parent 0627873b

Clusterisation2D_RevueSyntSem21.py

+72 −17
Changes for Clusterisation2D_RevueSyntSem21.py: 72 added lines, 17 removed lines.
Original line number Diff line number Diff line
@@ -111,14 +111,17 @@ comms1 = G.community_multilevel() 


comms2 = G.community_infomap()

comms3 = G.community_fastgreedy()

comms4 = G.community_leading_eigenvector(clusters=6)

comms4 = G.community_walktrap()

comms5=G.community_spinglass()

comms6=G.community_edge_betweenness()



comms5 = G.community_walktrap()

comms7 = G.community_leading_eigenvector(clusters=6)







comms8 = G.community_optimal_modularity() # très long ... 





comms6 = G.community_optimal_modularity() # très long ... 

comms7=G.community_spinglass()

comms8=G.community_edge_betweenness()

comms9=G.community_label_propagation()



# ---------------
@@ -146,25 +149,77 @@ visual_style3["legend"] = "Mot : "+ mot.upper() 


# ----------------------------------

# Création des images résultat



'''

igraph.plot(comms1,  mot+"-multilevelNoMarkGroups.svg", **visual_style3)



igraph.plot(comms2,  mot+"-infomapNoMarkGroups.svg", mark_groups = False, **visual_style3)



igraph.plot(comms3,  mot+"-fastgreedy.svg", mark_groups = True, **visual_style3)



igraph.plot(comms4,  mot+"-leading-eigenvector.svg", mark_groups = True, **visual_style3)



igraph.plot(comms5,  mot+"-walktrap.svg", **visual_style3)

igraph.plot(comms6,  mot+"-optimal_modularity.svg", mark_groups = True, **visual_style3)

igraph.plot(comms7,  mot+"-spinglassNoMarkGroups.svg", mark_groups = False, **visual_style3)

igraph.plot(comms8,  mot+"-edge_betweenness.svg", mark_groups = True, **visual_style3)

igraph.plot(comms9,  mot+"-label_propagation.svg", mark_groups = True, **visual_style3)

# ---------------





igraph.plot(comms4,  mot+"-walktrap.svg", **visual_style3)

igraph.plot(comms5,  mot+"-spinglassNoMarkGroups.svg", mark_groups = False, **visual_style3)

igraph.plot(comms6,  mot+"-edge_betweenness.svg", mark_groups = True, **visual_style3)





igraph.plot(comms7,  mot+"-leading-eigenvector.svg", mark_groups = True, **visual_style3)





igraph.plot(comms8,  mot+"-optimal_modularity.svg", mark_groups = True, **visual_style3)



igraph.plot(comms9,  mot+"-label_propagation.svg", mark_groups = True, **visual_style3)

'''

# ---------------

# comparaisons



# utilisation de la fonction compare_communities de igraph :

# https://igraph.org/python/doc/igraph.clustering-module.html#compare_communities



# comms3 - fastgreedy,comms4-walktrap, comms6-edge-betweeness sont de type vertexdendrogram 

# il faut donc les transformer en vertexclustering pour la comparaison en choisissnat une ligne de coupe -> 6

comms3b=comms3.as_clustering(n=6)

igraph.plot(comms3b,  mot+"-fastgreedy2.svg", mark_groups = True, **visual_style3)

comms4b=comms4.as_clustering(n=6)

igraph.plot(comms4b,  mot+"-walktrap2.svg",mark_groups = True, **visual_style3)

comms6b=comms6.as_clustering(n=6)

igraph.plot(comms6b,  mot+"-edge_betweenness2.svg", mark_groups = True, **visual_style3)





com=[comms1,comms2,comms3b,comms4b,comms5,comms6b,comms7,comms8,comms9]



labels=['multilevel','infomap','fastgreedy','walktrap','spinglass','edge_betweeness','eigenvector','optimal_modularity','label_propagation']

communautes=[comms1]



print("VI")

for i in range(9):

	print(labels[i],':')

	for j in range(9):

			r= igraph.compare_communities(com[i],com[j],method='vi', remove_none=False)

			print('\t',labels[j],'-',round(r,2))





print("\nNMI")

for i in range(9):

	print(labels[i],':')

	for j in range(9):

			r= igraph.compare_communities(com[i],com[j],method='nmi', remove_none=False)

			print('\t',labels[j],'-',round(r,2))



print("\nSPLIT-JOIN")

for i in range(9):

	print(labels[i],':')

	for j in range(9):

			r= igraph.compare_communities(com[i],com[j],method='split-join', remove_none=False)

			print('\t',labels[j],'-',round(r,2))



print("\nRAND")

for i in range(9):

	print(labels[i],':')

	for j in range(9):

			r= igraph.compare_communities(com[i],com[j],method='rand', remove_none=False)

			print('\t',labels[j],'-',round(r,2))



print("\nADJUSTED_RAND")

for i in range(9):

	print(labels[i],':')

	for j in range(9):

			r= igraph.compare_communities(com[i],com[j],method='adjusted_rand', remove_none=False)

			print('\t',labels[j],'-',round(r,2))
 
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sec-fastgreedy2.png

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sec-walktrap2.png

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