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dc.contributor.authorSanti Phithakkitnukoonen_US
dc.contributor.authorZbigniew Smoredaen_US
dc.date.accessioned2018-09-05T02:57:11Z-
dc.date.available2018-09-05T02:57:11Z-
dc.date.issued2016-12-01en_US
dc.identifier.issn18695469en_US
dc.identifier.issn18695450en_US
dc.identifier.other2-s2.0-84976407845en_US
dc.identifier.other10.1007/s13278-016-0351-zen_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84976407845&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/55493-
dc.description.abstract© 2016, Springer-Verlag Wien. Personal networks can influence human behavior in many aspects. This article presents a correlation analysis of social tie strength and individual behavior concerning mobility and sociality. The study uses a large-scale mobile phone data (110,213 subjects) from which behavior indicators for both mobility and sociality are inferred and used for the analysis. Mobility diversity, dispersion, and range are considered as mobility behavior indicators. Call frequency, call duration, and degree (number of social ties) are considered for sociality. The results show that people tend to have a more similar behavior with their closer ties for most of considered individual behavior indicators, except for the mobility dispersion.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.subjectSocial Sciencesen_US
dc.titleInfluence of social relations on human mobility and sociality: a study of social ties in a cellular networken_US
dc.typeJournalen_US
article.title.sourcetitleSocial Network Analysis and Miningen_US
article.volume6en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsOrange Labsen_US
Appears in Collections:CMUL: Journal Articles

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