Network Analysis Just For Fun

In the context of learning about Network Analysis, started with the fundamental metrics (degree centrality, closeness centrality, eigenvector centrality, clustering coefficient, PageRank, NodeXL, network diameter, degree distribution, …), to medium (k-clans, kplexs, Random Graph, Scale-free Network, Erdos-Renyi, Barabasi, Watts-Strogatz, …) and more complex ones (epidemics, difusion, …). Also invested some time playing with Google Books Ngram Viewer and NetLogo.

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