“…A bipartite projection defines a network among a set of nodes (e.g., cities, countries) by defining the strength of the connections between nodes in terms of their shared attributes (e.g., the number of firms located in two cities, the number of treaties signed by two counties). This approach has become the de facto method for measuring the world city network (Taylor, 2001;Taylor & Derudder, 2016), but is also used in other areas of geography at multiple geographic scales: at the macro-scale bipartite projections measure networks of international relations (e.g., Hafner-Burton, Kahler, & Montgomery, 2009), at the micro-scale they measure neighborhood social networks (e.g., Browning, Calder, Soller, Jackson, & Dirlam, 2017), and at a meta-scale they have been used to study the structure of schools of thought in geography (e.g., Peris, Meijers, & van Ham, 2018). Despite their promise and the apparent ease with which they can be constructed, using bipar-tite projections to measure spatial networks is not always straightforward.…”