Document Detail


Spatial effects in real networks: Measures, null models, and applications.
MedLine Citation:
PMID:  23368007     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Spatially embedded networks are shaped by a combination of purely topological (space-independent) and space-dependent formation rules. While it is quite easy to artificially generate networks where the relative importance of these two factors can be varied arbitrarily, it is much more difficult to disentangle these two architectural effects in real networks. Here we propose a solution to this problem, by introducing global and local measures of spatial effects that, through a comparison with adequate null models, effectively filter out the spurious contribution of nonspatial constraints. Our filtering allows us to consistently compare different embedded networks or different historical snapshots of the same network. As a challenging application we analyze the World Trade Web, whose topology is known to depend on geographic distances but is also strongly determined by nonspatial constraints (degree sequence or gross domestic product). Remarkably, we are able to detect weak but significant spatial effects both locally and globally in the network, showing that our method succeeds in retrieving spatial information even when nonspatial factors dominate. We finally relate our results to the economic literature on gravity models and trade globalization.
Authors:
Franco Ruzzenenti; Francesco Picciolo; Riccardo Basosi; Diego Garlaschelli
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-12-12
Journal Detail:
Title:  Physical review. E, Statistical, nonlinear, and soft matter physics     Volume:  86     ISSN:  1550-2376     ISO Abbreviation:  Phys Rev E Stat Nonlin Soft Matter Phys     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2013-2-1     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101136452     Medline TA:  Phys Rev E Stat Nonlin Soft Matter Phys     Country:  -    
Other Details:
Languages:  ENG     Pagination:  066110     Citation Subset:  -    
Affiliation:
Center for the Study of Complex Systems, University of Siena, Via Roma 56, 53100 Siena, Italy, and Department of Chemistry, University of Siena, Via Aldo Moro 1, 53100 Siena, Italy.
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