05/10/2026
How can we measure political polarization beyond voting records? In a new Network Science article, Hendrik Erz uses computational text analysis and network science to examine how members of the U.S. Congress talk about different issues over time. The results suggest that polarization is increasingly reflected not only in what politicians think, but also in what they choose to talk about. Read the article here:
Measuring issue-level polarization in congressional speech using community detection-algorithms - Volume 14