Demarcating geographic regions using community detection in commuting networks with significant self-loops

Mark He, Joseph Glasser, Nathaniel Pritchard, Shankar Bhamidi and Nikhil Kaza

PLOS ONE, 2020, vol. 15, issue 4, 1-31

Abstract: We develop a method to identify statistically significant communities in a weighted network with a high proportion of self-looping weights. We use this method to find overlapping agglomerations of U.S. counties by representing inter-county commuting as a weighted network. We identify three types of communities; non-nodal, nodal and monads, which correspond to different types of regions. The results suggest that traditional regional delineations that rely on ad hoc thresholds do not account for important and pervasive connections that extend far beyond expected metropolitan boundaries or megaregions.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0230941

DOI: 10.1371/journal.pone.0230941

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