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dc.contributor.authorH?vel, Philipp
dc.contributor.authorSimini, Filippo
dc.contributor.authorVanhoof, Maarten
dc.contributor.authorSmoreda, Zbigniew
dc.contributor.authorBarab?si, Albert-L?szl?
dc.contributor.authorGrauwin, Sebastian
dc.contributor.authorSzell, Michael
dc.contributor.authorSobolevsky, Stanislav
dc.contributor.authorRatti, Carlo
dc.date.accessioned2017-06-21T14:32:50Z
dc.date.available2017-06-21T14:32:50Z
dc.date.issued2017-04
dc.date.submitted2016-08
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/1721.1/110111
dc.description.abstractThe idea of a hierarchical spatial organization of society lies at the core of seminal theories in human geography that have strongly influenced our understanding of social organization. Along the same line, the recent availability of large-scale human mobility and communication data has offered novel quantitative insights hinting at a strong geographical confinement of human interactions within neighboring regions, extending to local levels within countries. However, models of human interaction largely ignore this effect. Here, we analyze several country-wide networks of telephone calls - both, mobile and landline - and in either case uncover a systematic decrease of communication induced by borders which we identify as the missing variable in state-of-the-art models. Using this empirical evidence, we propose an alternative modeling framework that naturally stylizes the damping effect of borders. We show that this new notion substantially improves the predictive power of widely used interaction models. This increases our ability to understand, model and predict social activities and to plan the development of infrastructures across multiple scales.en_US
dc.description.sponsorshipDeutscher Akademischer Austauschdienst (postdoctoral fellowship)en_US
dc.description.sponsorshipEuropean Commission. Future and Emerging Technologies-Open Project DATASIM (FP7-ICT-270833)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/srep46677en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.titleIdentifying and modeling the structural discontinuities of human interactionsen_US
dc.typeArticleen_US
dc.identifier.citationGrauwin, Sebastian, Michael Szell, Stanislav Sobolevsky, Philipp Hövel, Filippo Simini, Maarten Vanhoof, Zbigniew Smoreda, Albert-László Barabási, and Carlo Ratti. “Identifying and Modeling the Structural Discontinuities of Human Interactions.” Scientific Reports 7 (April 26, 2017): 46677.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planningen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.mitauthorGrauwin, Sebastian
dc.contributor.mitauthorSzell, Michael
dc.contributor.mitauthorSobolevsky, Stanislav
dc.contributor.mitauthorRatti, Carlo
dc.relation.journalScientific Reportsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsGrauwin, Sebastian; Szell, Michael; Sobolevsky, Stanislav; H?vel, Philipp; Simini, Filippo; Vanhoof, Maarten; Smoreda, Zbigniew; Barab?si, Albert-L?szl?; Ratti, Carloen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-6281-0656
dc.identifier.orcidhttps://orcid.org/0000-0003-2026-5631
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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