Spatial Science and Network Science: Review and Outcomes of a Complex Relationship
César Ducruet () and
Laurent Beauguitte ()
Networks and Spatial Economics, 2014, vol. 14, issue 3, 297-316
Abstract:
For decades, the spatial approach to network analysis has principally focused on planar and technical networks from a classic graph theory perspective. Reference to models and methods developed by other disciplines on non-planar networks, such as sociology and physics, is recent, limited, and dispersed. Conversely, the physics literature that developed the popular scale-free and small-world models pays an increasing attention to the spatial dimension of networks. Reviewing how complex network research has been integrated into geography and regional science reveals a high heterogeneity among spatial scientists as well as key directions for increasing their role inside multidisciplinary researches on networks. Copyright Springer Science+Business Media New York 2014
Keywords: Complex network; Scale-free network; Small-world network; Geography; Regional science; Spatial network (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (74)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11067-013-9222-6 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:netspa:v:14:y:2014:i:3:p:297-316
Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11067/PS2
DOI: 10.1007/s11067-013-9222-6
Access Statistics for this article
Networks and Spatial Economics is currently edited by Terry L. Friesz
More articles in Networks and Spatial Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().