Chris Lindgren, an assistant professor in the Department of English, published a Python module for social network analysis, Name That Twitter Community!, which was recently reviewed in the second issue of the new journal, Reviews in Digital Humanities.

This Python programming language code library [project link] assumes that researchers have a set of network subgraphs created through community detection, and they need to contextualize more quickly each community of importance for further investigation. He developed the library to help researchers create outputs that answer two questions: What can these communities be named, and how can they be grouped together.