Analysis of the communities of an urban mobile phone network
dc.contributor.author | Botta, F | |
dc.contributor.author | Del Genio, CI | |
dc.date.accessioned | 2020-07-23T09:06:16Z | |
dc.date.issued | 2017-03-23 | |
dc.description.abstract | Being able to characterise the patterns of communications between individuals across different time scales is of great importance in understanding people's social interactions. Here, we present a detailed analysis of the community structure of the network of mobile phone calls in the metropolitan area of Milan revealing temporal patterns of communications between people. We show that circadian and weekly patterns can be found in the evolution of communities, presenting evidence that these cycles arise not only at the individual level but also at that of social groups. Our findings suggest that these trends are present across a range of time scales, from hours to days and weeks, and can be used to detect socially relevant events. | en_GB |
dc.description.sponsorship | EPSRC | en_GB |
dc.description.sponsorship | European Commission | en_GB |
dc.identifier.citation | Vol. 12 (3): e0174198. | en_GB |
dc.identifier.doi | 10.1371/journal.pone.0174198 | |
dc.identifier.grantnumber | EP/E501311/1 | en_GB |
dc.identifier.grantnumber | 288021 | en_GB |
dc.identifier.grantnumber | EP/K000128/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/122094 | |
dc.language.iso | en | en_GB |
dc.publisher | Public Library of Science | en_GB |
dc.rights | Copyright: © 2017 Botta, Genio. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | en_GB |
dc.subject | community structure | en_GB |
dc.subject | cell phones | en_GB |
dc.subject | Telecommunications | en_GB |
dc.subject | Chronobiology | en_GB |
dc.subject | geography | en_GB |
dc.subject | Mathematical models | en_GB |
dc.subject | Network analysis | en_GB |
dc.subject | urban areas | en_GB |
dc.title | Analysis of the communities of an urban mobile phone network | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-07-23T09:06:16Z | |
dc.description | This is the final version. Available from Public Library of Science via the DOI in this record. | en_GB |
dc.description | Data Availability: Data available at: Telecom Italia Big Data Challenge 2014, https://dandelion.eu/datamine/open-big-data/. | en_GB |
dc.identifier.eissn | 1932-6203 | |
dc.identifier.journal | PLoS ONE | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2017-03-06 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2017-03-06 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-07-23T09:00:11Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2020-07-23T09:06:20Z | |
refterms.panel | B | en_GB |
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Except where otherwise noted, this item's licence is described as Copyright: © 2017 Botta, Genio. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.