Social physics

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Bhattacharya, Kunal Kaski, Kimmo 2019-01-14T09:23:53Z 2019-01-14T09:23:53Z 2018-11-14
dc.identifier.citation Bhattacharya , K & Kaski , K 2018 , ' Social physics : uncovering human behaviour from communication ' Advances in Physics: X , vol. 4 , no. 1 , 1527723 , pp. 1-29 . DOI: 10.1080/23746149.2018.1527723 en
dc.identifier.issn 2374-6149
dc.identifier.other PURE UUID: b972fcb1-a37c-45f6-9f03-eec9ef4b0c8e
dc.identifier.other PURE ITEMURL:
dc.identifier.other PURE FILEURL:
dc.description | openaire: EC/H2020/654024/EU//SoBigData | openaire: EC/H2020/662725/EU//IBSEN
dc.description.abstract In the post year 2000 era the technologies that facilitate human communication have rapidly multiplied. While the adoption of these technologies has hugely impacted the behaviour and sociality of people, specifically in urban but also in rural environments, their "digital footprints' on different data bases have become an active area of research. The existence and accessibility of such large population-level datasets, has allowed scientists to study and model innate human tendencies and social patterns in an unprecedented way that complements traditional research approaches like questionnaire studies. In this review, we focus on data analytics and modelling research - along the lines of Social Physics - as it has been carried out using the mobile phone datasets to get insight into the various aspects of human sociality, burstiness in communication, mobility patterns, and daily rhythms. en
dc.format.extent 1-29
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation info:eu-repo/grantAgreement/EC/H2020/662725/EU//IBSEN
dc.relation.ispartofseries Advances in Physics: X en
dc.relation.ispartofseries Volume 4, issue 1 en
dc.rights openAccess en
dc.subject.other 113 Computer and information sciences en
dc.title Social physics en
dc.type A2 Katsausartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Professorship Kaski K.
dc.contributor.department Department of Computer Science en
dc.subject.keyword big data
dc.subject.keyword complex networks
dc.subject.keyword burstiness in time series
dc.subject.keyword circadian rhythms
dc.subject.keyword human mobility patterns
dc.subject.keyword HUMAN MOBILITY
dc.subject.keyword HUMAN DYNAMICS
dc.subject.keyword CIRCADIAN-RHYTHMS
dc.subject.keyword DISORDERED MEDIA
dc.subject.keyword NETWORKS
dc.subject.keyword PATTERNS
dc.subject.keyword SLEEP
dc.subject.keyword SCIENCE
dc.subject.keyword MODEL
dc.subject.keyword PREDICTABILITY
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201901141194
dc.identifier.doi 10.1080/23746149.2018.1527723
dc.type.version publishedVersion

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