Functional regions detection by walktrap and chains' methods

Samo Drobne, Albero Garre, Eloy Hontoria, Miha Konjar

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

Abstract

In this paper, we analyse functional regions by using two graph theoretical methods, walktrap algorithm and chains' approach. The quality of the regionalization procedure is analysed by applying fuzzy set theory. The application for Slovenia shows that walktrap algorithm calculates more self-contained functional regions than chains' approach.

Original languageEnglish
Title of host publicationProceedings of the 15th International Symposium on Operational Research, SOR 2019
EditorsLidija Zadnik Stirn, Mirjana Kljajic Borstnar, Janez Zerovnik, Samo Drobne, Janez Povh
Pages449-454
Number of pages6
ISBN (Electronic)9789616165556
Publication statusPublished - Sep 2019
Event15th International Symposium on Operational Research, SOR 2019 - Bled, Slovenia
Duration: 25 Sep 201927 Sep 2019

Publication series

NameProceedings of the 15th International Symposium on Operational Research, SOR 2019

Conference

Conference15th International Symposium on Operational Research, SOR 2019
CountrySlovenia
CityBled
Period25/09/1927/09/19

Keywords

  • Chains' method
  • Functional regions
  • Fuzzy sets
  • Graphs
  • Slovenia
  • Walktrap algorithm

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  • Cite this

    Drobne, S., Garre, A., Hontoria, E., & Konjar, M. (2019). Functional regions detection by walktrap and chains' methods. In L. Zadnik Stirn, M. Kljajic Borstnar, J. Zerovnik, S. Drobne, & J. Povh (Eds.), Proceedings of the 15th International Symposium on Operational Research, SOR 2019 (pp. 449-454). (Proceedings of the 15th International Symposium on Operational Research, SOR 2019).