def reputationDistr():
reputation_dist = reputation_distribution(g.db)
img = plot_distribution(reputation_dist)
img2 = reputation_answers_dependency(g.db)
user_graph = GAnalysis.buildGraph(g.db)
#Centralities
betweenness_centrality = GAnalysis.between_centrality(g.db, user_graph, 5)
eigenvector_centrality = GAnalysis.eigenvector_centrality(g.db, user_graph, 5)
ass_k = GAnalysis.assortativity_coefficient(user_graph)
#Communities
partition = GAnalysis.best_partition(user_graph)
modularity = GAnalysis.modularity(partition, user_graph)
number_of_communities = GAnalysis.number_of_communities(partition)
return render_template('reputation.html',
repDist=img, repVSans=img2,
reputations=reputation_dist[:10],
betweenness_centrality=betweenness_centrality,
eigenvector_centrality=eigenvector_centrality,
assortativity_coefficient=ass_k,
modularity=modularity,
number_of_communities=number_of_communities
)
