Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12779/6119
DC FieldValueLanguage
dc.contributor.authorRuzzenenti, Francoen_us
dc.contributor.authorPicciolo, Francescoen_us
dc.contributor.authorBasosi, Riccardoen_us
dc.contributor.authorGarlaschelli, Diegoen_us
dc.date.accessioned2021-03-30T15:59:48Z-
dc.date.available2021-03-30T15:59:48Z-
dc.date.issued2012-
dc.identifier.issn1539-3755en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12779/6119-
dc.description67999en_US
dc.description.abstractSpatially 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 globalizationen_US
dc.language.isoenen_US
dc.relationNoneen_US
dc.relation.ispartofPHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICSen_US
dc.titleSpatial effects in real networks: Measures, null models, and applicationsen_US
dc.typeArticleen_US
dc.identifier.doi10.1103/PhysRevE.86.066110en_US
dc.identifier.pmid23368007en_US
dc.identifier.scopus2-s2.0-84871784246en_US
dc.identifier.isiWOS:000312296300002en_US
dc.relation.volume86en_US
dc.relation.issue6en_US
dc.description.thirdmissionNot applicableen_US
dc.description.articleno066110en_US
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.fulltextNo Fulltext-
crisitem.author.orcid0000-0003-1026-7668-
Appears in Collections:Publications
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.