Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Business Systems Research Journal
Volume 11 (2020): Issue 2 (October 2020)
Open Access
Comparison of Two Network-Theory-Based Methods for detecting Functional Regions
Samo Drobne
Samo Drobne
,
Alberto Garre
Alberto Garre
,
Eloy Hontoria
Eloy Hontoria
and
Miha Konjar
Miha Konjar
| Oct 29, 2020
Business Systems Research Journal
Volume 11 (2020): Issue 2 (October 2020)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Oct 29, 2020
Page range:
21 - 35
Received:
Jan 28, 2020
Accepted:
Apr 19, 2020
DOI:
https://doi.org/10.2478/bsrj-2020-0013
Keywords
functional regionalisation
,
graphs
,
Walktrap algorithm
,
chain method
,
fuzzy sets
,
Slovenia
© 2020 Samo Drobne et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Samo Drobne
Faculty of Civil and Geodetic Engineering, University of Ljubljana
Ljubljana, Slovenia
Alberto Garre
Laboratory of Food Microbiology, Wageningen University & Research
Wageningen, Netherlands
Eloy Hontoria
Technical University of Cartagena / Business Management,
Cartagena, Spain
Miha Konjar
Slovenia