Similarity Measures and Graph Adjacency with Sets

In my last installment (<a href="https://medium.com/p/648a2f20d389" rel="noopener">Part I</a>), I introduced you to a bit about the process of analyzing an archaeological site with data science. I talked about the frustratingly complex nature of “Old Things in Space” and how the network of artifacts and locations constitute a bipartite graph. As we worked through the process of creating a two-mode graph and projecting it into its constituent one-mode graphs, however, we ended on something of a cliff-hanger… everything ended up connected to everything else! Well, sort of. I have to confess that I intentionally lead you down a primrose path straight into a cul-de-sac. All part of my cunning plan, of course, to get to the much more interesting topic of thinking about just what it means for two things to be “similar” and similarity metrics for sets. <a href="https://towardsdatascience.com/similarity-measures-and-graph-adjacency-with-sets-a33d16e527e1">Website</a>