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

• Published in: PloS one Vol. 15; no. 4; p. e0230941
• Main Authors: He, Mark, Glasser, Joseph, Pritchard, Nathaniel, Bhamidi, Shankar, Kaza, Nikhil
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 29.04.2020; Public Library of Science (PLoS)
• Subjects: Commuting; Computer and Information Sciences; Earth Sciences; Labor market; Methods; Metropolitan areas; Operations research; People and places; Physical Sciences; Planning; Research and Analysis Methods; Social networks; Social Sciences; Statistical analysis; Texas; California; United States > US

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...