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

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  • Mark He
  • Joseph Glasser
  • Nathaniel Pritchard
  • Shankar Bhamidi
  • Nikhil Kaza

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.

Suggested Citation

  • Mark He & Joseph Glasser & Nathaniel Pritchard & Shankar Bhamidi & Nikhil Kaza, 2020. "Demarcating geographic regions using community detection in commuting networks with significant self-loops," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-31, April.
    • Handle: RePEc:plo:pone00:0230941
    DOI: 10.1371/journal.pone.0230941
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    References listed on IDEAS

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    3. Susanne A. Frick & Andres Rodriguez-Pose, 2017. "Big or small cities? On city size and economic growth," Papers in Evolutionary Economic Geography (PEEG) 1725, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2017.
    4. Yihui Ren & Mária Ercsey-Ravasz & Pu Wang & Marta C. González & Zoltán Toroczkai, 2014. "Predicting commuter flows in spatial networks using a radiation model based on temporal ranges," Nature Communications, Nature, vol. 5(1), pages 1-9, December.
    5. Xiang, Ju & Tang, Yan-Ni & Gao, Yuan-Yuan & Zhang, Yan & Deng, Ke & Xu, Xiao-Ke & Hu, Ke, 2015. "Multi-resolution community detection based on generalized self-loop rescaling strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 127-139.
    6. John D. Nystuen & Michael F. Dacey, 1961. "A Graph Theory Interpretation Of Nodal Regions," Papers in Regional Science, Wiley Blackwell, vol. 7(1), pages 29-42, January.
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    8. Yicheol Han & Stephan J. Goetz, 2019. "Overlapping labour market areas based on link communities," Papers in Regional Science, Wiley Blackwell, vol. 98(1), pages 539-553, February.
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    1. J. J. Merelo & M. Cristina Molinari, 2024. "Intra-family links in the analysis of marital networks," Journal of Computational Social Science, Springer, vol. 7(1), pages 425-449, April.

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