Please provide the complete PYTHON code !!!!!

Write code to reproduce the following figures comparing Erdos-Renyi random networks to Barabasi-Albert networks. Note that Networkx has a function for generating Barabasi-Albert (BA) networks called barabasi_albert_graph (more here). (a) Reproduce the following figure by generating BA networks of various sizes (i.e., varying N ). Use the parameter choice m=2. For each choice of N, consider the average average clustering coefficient of 5 different BA networks. Networkx also has built-in functions for calculating clustering coefficients. Are your results well approximated by (ln(N))2/N as in the figure? (b) Plot the degree distributions for BA networks with N=105 and for the parameter choices m=1,3,5,7. (c) Reproduce the following figure by growing a single BA network up to 105 nodes (or however many nodes your computer can handle). Use m=2, but explain what will happen if we vary m. While growing the network, note the nodes added at time t=1,10,102,103,104,105 and track their respective degrees over time. You can use the Networkx function for generating BA networks to check your work, but you may need to write your own code for generating BA networks if you want to track the degree of an individual node over time. This tutorial may be helpful