Social Physics: Understanding Human Sociality in Communication Networks

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorGhosh, Asim
dc.contributor.authorMonsivais, Daniel
dc.contributor.authorBhattacharya, Kunal
dc.contributor.authorKaski, Kimmo
dc.contributor.departmentKaski Kimmo group
dc.contributor.departmentDepartment of Computer Science
dc.contributor.editorAbergel, Frédéric
dc.contributor.editorAoyama, Hideaki
dc.contributor.editorChakrabarti, Bikas K.
dc.contributor.editorChakraborti, Anirban
dc.contributor.editorDeo, Nivedita
dc.contributor.editorRaina, Dhruv
dc.contributor.editorVodenska, Irena
dc.date.accessioned2018-08-21T13:43:35Z
dc.date.available2018-08-21T13:43:35Z
dc.date.issued2017
dc.description| openaire: EC/H2020/662725/EU//IBSEN
dc.description.abstractIn this brief review, we discuss some recent findings of human sociality in contemporary techno-social networks of interacting individuals. Here we will focus on a few important observations obtained by analysing mobile communication data of millions of users in a European country participating in billions of calls and text messages over a period of one year. In addition to the description of the basic structure of the network in terms of its topological characteristics like the degree distribution or the clustering coefficient, the demographic information of the users have been utilized to get deeper insight into the various facets of human sociality related to age and gender as reflected in the communication patterns of users. One of the observations suggests that the grandmothering effect is clearly visible in these communication patterns. In addition it is found that the number of friends or connections of a user show a clear decaying trend as a function of the user’s age for both genders. Furthermore, ananalysis of the most common location of the users shows the effect of distance on close relationships. As computational analysis and modelling are the two key approaches or tools of modern ‘Social Physics’ we will very briefly discuss the construction of a social network model to get insight into how plausible microscopic social interaction processes translate to meso- and macroscopic socially weighted network structures between individuals.en
dc.description.versionPeer revieweden
dc.format.extent14
dc.format.extent187-200
dc.identifier.citationGhosh , A , Monsivais , D , Bhattacharya , K & Kaski , K 2017 , Social Physics: Understanding Human Sociality in Communication Networks . in F Abergel , H Aoyama , B K Chakrabarti , A Chakraborti , N Deo , D Raina & I Vodenska (eds) , Econophysics and Sociophysics: Recent Progress and Future Directions . New economic windows , Springer , Cham , pp. 187-200 . https://doi.org/10.1007/978-3-319-47705-3_14en
dc.identifier.doi10.1007/978-3-319-47705-3_14
dc.identifier.isbn978-3-319-47705-3
dc.identifier.issn2039-411X
dc.identifier.issn2039-4128
dc.identifier.otherPURE UUID: 327a32dc-8880-4bfa-b657-d14cb92b8c6b
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/327a32dc-8880-4bfa-b657-d14cb92b8c6b
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/33474
dc.identifier.urnURN:NBN:fi:aalto-201808214607
dc.language.isoenen
dc.publisherSpringer
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/662725/EU//IBSEN
dc.relation.ispartofseriesEconophysics and Sociophysics: Recent Progress and Future Directionsen
dc.relation.ispartofseriesNew economic windowsen
dc.rightsrestrictedAccessen
dc.titleSocial Physics: Understanding Human Sociality in Communication Networksen
dc.typeA3 Kirjan tai muun kokoomateoksen osafi
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