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dc.contributor.authorBelmonte, A
dc.contributor.authorDi Clemente, R
dc.contributor.authorBuldyrev, SV
dc.date.accessioned2020-01-29T10:03:00Z
dc.date.issued2014-06-23
dc.description.abstractWe characterize the statistical law according to which Italian primary school-size distributes. We find that the school-size can be approximated by a log-normal distribution, with a fat lower tail that collects a large number of very small schools. The upper tail of the school-size distribution decreases exponentially and the growth rates are distributed with a Laplace PDF. These distributions are similar to those observed for firms and are consistent with a Bose-Einstein preferential attachment process. The body of the distribution features a bimodal shape suggesting some source of heterogeneity in the school organization that we uncover by an in-depth analysis of the relation between schools-size and city-size. We propose a novel cluster methodology and a new spatial interaction approach among schools which outline the variety of policies implemented in Italy. Different regional policies are also discussed shedding lights on the relation between policy and geographical features.en_GB
dc.identifier.citationVol. 4, article 5301en_GB
dc.identifier.doi10.1038/srep05301
dc.identifier.urihttp://hdl.handle.net/10871/40628
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/en_GB
dc.titleThe Italian primary school-size distribution and the city-size: A complex nexusen_GB
dc.typeArticleen_GB
dc.date.available2020-01-29T10:03:00Z
dc.descriptionThis is the final version. Available from Nature Research via the DOI in this record.en_GB
dc.identifier.journalScientific Reportsen_GB
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_GB
dcterms.dateAccepted2014-05-21
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2014-05-21
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-01-29T09:57:41Z
refterms.versionFCDVoR
refterms.dateFOA2020-01-29T10:03:09Z
refterms.panelBen_GB


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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's licence is described as This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/