Natural Scales in Geographical Patterns
| Autor: | Telmo Menezes, Camille Roth |
|---|---|
| Přispěvatelé: | Centre Marc Bloch (CMB), Ministère de l'Europe et des Affaires étrangères (MEAE)-Bundesministerium für Bildung und Forschung-Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)-Centre National de la Recherche Scientifique (CNRS), Médialab (Sciences Po) (Médialab), Sciences Po (Sciences Po), Centre National de la Recherche Scientifique (CNRS), This paper has been partially supported by grants 'Phantomgrenzen' and 'Algodiv' (ANR-15-CE38-0001), funded respectively by the BMBF (German Federal Ministry for Education and Research) and by the ANR (French National Agency of Research)., ANR-15-CE38-0001,ALGODIV,Algodiv: Recommandation algorithmique et diversité des informations du web(2015) |
| Rok vydání: | 2017 |
| Předmět: |
FOS: Computer and information sciences
0301 basic medicine Physics - Physics and Society FOS: Physical sciences Distribution (economics) computer science Network science Physics and Society (physics.soc-ph) Space (commercial competition) human movement Article [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI] Natural (archaeology) geographical networks 03 medical and health sciences network science community detection applied mathematics 91D20 91D30 Social and Information Networks (cs.SI) [SHS.STAT]Humanities and Social Sciences/Methods and statistics Multidisciplinary business.industry Orders of magnitude (acceleration) Computer Science - Social and Information Networks [SHS.GEO]Humanities and Social Sciences/Geography Partition (database) Discontinuity (linguistics) 030104 developmental biology Geography business Scale (map) Cartography |
| Zdroj: | Scientific Reports Scientific Reports, Nature Publishing Group, 2017, 7 (45823), ⟨10.1038/srep45823⟩ Scientific Reports, Nature Publishing Group, 2017, 7 (45823), ⟨10.1080/01621459.1971.10482356⟩ Scientific Reports, 7(45823) (2017-04) |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/srep45823 |
| Popis: | Human mobility is known to be distributed across several orders of magnitude of physical distances, which makes it generally difficult to endogenously find or define typical and meaningful scales. Relevant analyses, from movements to geographical partitions, seem to be relative to some ad-hoc scale, or no scale at all. Relying on geotagged data collected from photo-sharing social media, we apply community detection to movement networks constrained by increasing percentiles of the distance distribution. Using a simple parameter-free discontinuity detection algorithm, we discover clear phase transitions in the community partition space. The detection of these phases constitutes the first objective method of characterising endogenous, natural scales of human movement. Our study covers nine regions, ranging from cities to countries of various sizes and a transnational area. For all regions, the number of natural scales is remarkably low (2 or 3). Further, our results hint at scale-related behaviours rather than scale-related users. The partitions of the natural scales allow us to draw discrete multi-scale geographical boundaries, potentially capable of providing key insights in fields such as epidemiology or cultural contagion where the introduction of spatial boundaries is pivotal. |
| Databáze: | OpenAIRE |
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