Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/de-gruyter/comparison-of-two-network-theory-based-methods-for-detecting-o0X7CXNgDF
References (46)
-
I. Masser, J. Scheurwater (1980)
Functional Regionalisation of Spatial Interaction Data. An Evaluation of Some Suggested StrategiesEnvironment and Planning A, 12
-
W. Siddall (1980)
Geography as Spatial InteractionEconomic Geography, 57
-
F. Benassi, Mirela Deva, Donatella Zindato (2015)
Graph Regionalization with Clustering and Partitioning: An Application for Daily Commuting Flows in AlbaniaEconomic Growth eJournal
-
J. Casado-Díaz (2000)
Local Labour Market Areas in Spain: A Case StudyRegional Studies, 34
-
S. Drobne, Albero Garre, E. Hontoria, Miha Konjar (2019)
Functional regions detection by walktrap and chains' methods -
S. Drobne, Miha Konjar, A. Lisec (2010)
Delimitation of functional regions of slovenia based on labour market analysisGeodetski Vestnik, 54
-
M. Newman (2010)
Networks: An Introduction -
Mehjabin Khatoon, W. Banu (2019)
An efficient method to detect communities in social networks using DBSCAN algorithmSocial Network Analysis and Mining, 9
-
J. Holmes, P. Haggett (2010)
Graph Theory Interpretation of Flow Matrices: A Note on Maximization Procedures for Identifying Significant LinksGeographical Analysis, 9
-
M. Watts (2009)
Rules versus Hierarchy: An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping Techniques -
Gábor Csárdi, T. Nepusz (2006)
The igraph software package for complex network research, 1695
-
Miha Konjar, A. Lisec, S. Drobne (2010)
Methods for delineation of functional regions using data on commuters -
Wenqian Ke, Wei Chen, Zhaoyuan Yu (2017)
Uncovering Spatial Structures of Regional City Networks from Expressway Traffic Flow Data: A Case Study from Jiangsu Province, ChinaSustainability, 9
-
S. Fortunato (2009)
Community detection in graphsArXiv, abs/0906.0612
-
F. Cörvers, M. Hensen, Dion Bongaerts (2009)
Delimitation and Coherence of Functional and Administrative RegionsRegional Studies, 43
-
R. Ball (1980)
The use and definition of Travel-to-Work Areas in Great Britain: Some problemsRegional Studies, 14
-
Matej Gabrovec, David Bole (2009)
Dnevna mobilnost v Sloveniji -
A. Clauset, Cristopher Moore, M. Newman (2008)
Hierarchical structure and the prediction of missing links in networksNature, 453
-
(2004)
) , “ Spatial development strategy of Slovenia ” -
P. Ronhovde, Z. Nussinov (2008)
Multiresolution community detection for megascale networks by information-based replica correlations.Physical review. E, Statistical, nonlinear, and soft matter physics, 80 1 Pt 2
-
M. Coombes, A. Green, S. Openshaw (1986)
An Efficient Algorithm to Generate Official Statistical Reporting Areas: The Case of the 1984 Travel-to-Work Areas Revision in BritainJournal of the Operational Research Society, 37
-
P. Pons, Matthieu Latapy (2004)
Computing Communities in Large Networks Using Random Walks -
L. Laan, Richard Schalke (2001)
Reality versus Policy: The Delineation and Testing of Local Labour Market and Spatial Policy AreasEuropean Planning Studies, 9
-
Marián Halás, P. Klapka, P. Tonev, M. Bednář (2015)
An alternative definition and use for the constraint function for rule-based methods of functional regionalisationEnvironment and Planning A, 47
-
Zhiqiang Feng (2009)
Fuzziness of Travel-to-Work AreasRegional Studies, 43
-
S. Drobne, M. Lakner (2016)
Use of Constraints in the Hierarchical Aggregation Procedure IntramaxBusiness Systems Research Journal, 7
-
(2012)
Study on comparable labour market areas - Final research report -
Alberto Garre, P. Fernández, P. Brereton, C. Elliott, V. Mojtahed (2019)
The use of trade data to predict the source and spread of food safety outbreaks: An innovative mathematical modelling approach.Food research international, 123
-
Michael Boss, Helmut Elsinger, Martin Summer, Stefan 4 (2003)
Network topology of the interbank marketQuantitative Finance, 4
-
M. Faloutsos, P. Faloutsos, C. Faloutsos (1999)
On power-law relationships of the Internet topology -
I. Masser, P. Brown (1975)
Hierarchical Aggregation Procedures for Interaction DataEnvironment and Planning A, 7
-
R. Team (2014)
R: A language and environment for statistical computing.MSOR connections, 1
-
Marián Halás, P. Klapka, M. Erlebach (2018)
Unveiling spatial uncertainty: a method to evaluate the fuzzy nature of functional regionsRegional Studies, 53
-
S. Drobne, M. Bogataj (2014)
Regions for Servicing Old People: Case study of SloveniaBusiness Systems Research Journal, 5
-
S. Lehmann, Martin Schwartz, L. Hansen (2007)
Biclique communities.Physical review. E, Statistical, nonlinear, and soft matter physics, 78 1 Pt 2
-
Martin Watts (2013)
Assessing Different Spatial Grouping Algorithms: An Application to the Design of Australia's New Statistical GeographySpatial Economic Analysis, 8
-
J. Nystuen, M. Dacey (1961)
A graph theory interpretation of nodal regionsPapers of the Regional Science Association, 7
-
M. Coombes, S. Bond (2008)
Travel-to-Work Areas: the 2007 review -
GURS . ( 2018 ) , “ Spatial data on municipalities , 2011 ” -
C. Karlsson, Michael Olsson (2006)
The identification of functional regions: theory, methods, and applicationsThe Annals of Regional Science, 40
-
M. Erlebach, Martin Tomáš, P. Tonev (2016)
A functional interaction approach to the definition of meso regions: The case of the Czech RepublicMoravian Geographical Reports, 24
-
Gábor Pálóczi, J. Pénzes, Pavol Hurbánek, Marián Halás, P. Klapka (2016)
Attempts to delineate functional regions in Hungary based on commuting dataRegional Statistics
-
I. Masser, J. Scheurwater (1978)
The specification of multi-level systems for spatial analysis -
SI-Stat data portal -
Marián Halás, P. Klapka, Pavol Hurbánek, B. Bleha, J. Pénzes, Gábor Pálóczi (2018)
A definition of relevant functional regions for international comparisons: The case of Central EuropeArea
-
S. Drobne (2016)
A model evaluating the number and areas of functional regions
- Publisher
- de Gruyter
- Copyright
- © 2020 Samo Drobne et al., published by Sciendo
- ISSN
- 1847-9375
- eISSN
- 1847-9375
- DOI
- 10.2478/bsrj-2020-0013
- Publisher site
- See Article on Publisher Site
Abstract
AbstractBackground: Functional regions are abstract, uniformly defined territorial units that form an important basis for many development strategies of a country or a region.Objectives: This study analyses the application of network theory to the detection of such regions.Methods/Approach: Functional regions are analysed using two methods based on the graph theory: the Walktrap algorithm and the chain approach. The quality of the two regionalization methods is analysed using the fuzzy set theory with the revised method. Slovenia was used as a case study.Results: The Walktrap algorithm generated eight functional regions; seven of them corresponded to those identified in previous studies. The only difference occurred in the northwestern mountainous part of Slovenia. The chain approach led to similar results, although it resulted in a huge functional urban region of the capital Ljubljana.Conclusions: The results show that the Walktrap algorithm calculates regions that are more closed, where more workers find work in the home region, than the chain approach.
Journal
Business Systems Research Journal – de Gruyter
Published: Oct 1, 2020