Bipartite Graphs for Archaeological Assemblage Networks

I’ve occasionally been asked, especially since I decided to go “all in” by getting another graduate degree [1], what data science has to do with archaeology [2]. This will be the first of a short series of articles to demonstrate how I’ve been using data, statistics, and such to gain insights into what is a surprisingly convoluted area of research. Basically, while many data scientists are trying to make inferences about the present or future, I’ve been finding ways to apply those same methods to understanding the past. Although I’m using an archaeological example, the methods presented here can be used for any number of research questions in other fields. Bipartite graphs are used in bioinformatics (e.g., gene-expression associations), cryptography (code-decode matching), chemical engineering, recommender engines (e.g., customer-product matching) — i.e., any analysis in which the relationship between entities depends on some intermediary relationship. <a href="https://towardsdatascience.com/bipartite-graphs-for-archaeological-assemblage-networks-part-i-648a2f20d389">Read More</a>