Social network analysis using networkx

Consider the following graphs:

(1) The Wiki-Vote graph from the SNAP dataset repository.(Num of nodes: 7115, Num of edges: 100762)

(2) An (undirected) Erdos-Renyi random graph.

(3) An (undirected) graph generated using preferential attachment.

(4) A graph generated using the forest fire model.

The number of nodes of the generated graphs and when possible the (expected) number of edges of each of the synthetically generated graphs should be the same to one of the Wiki-Vote graph.

For these graphs:

a. Plot the degree distributions for each graph. Produce 4 plots (simple distribution, bins of exponential size, cumulative, zipf). All plots should be in log-log scale.

Skills: Data Mining, Statistical Analysis, Statistics, Social Networking, Python

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Project ID: #28320331