Networks - Python

***ANSWER IN PYTHON CODE PLEASE***

Definition (ER Model B : Binomial Random Graphs). Let n1, let N=(n2) and let 0p1. The model G(n,p) consists of the ensemble of graphs G with n nodes X={0,1,,n1}, and each of the N possible edges chosen with probability p. Model B random graphs in networkx can be generated with the function nx.gnp_random_graph (n,p), where parameter n gives the number of nodes and parameter p[0,1] the edge probability. M plt.figure(figsize =(12,5)) G=nx.gnp_random_graph(16,0.125) print("iredges: ",G.number_of_edges()) nx.draw(G,"*opts2) Tasks - Draw 2 random graphs sampled from model B with n=20 nodes and edge probability p such that the expected size of the graph is 38 . - For each graph drawn, determine its number of triads and of triangles. - For each graph drawn, determine its clustering coefficient C and its transitivity T