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Twitter session analytics: profiling susers' short-term behavioral changes

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dc.affiliation.dptoUC3M. Departamento de Matemáticases
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Interdisciplinar de Sistemas Complejos (GISC)es
dc.contributor.authorKooti, Farshad
dc.contributor.authorMoro, Esteban
dc.contributor.authorLerman, Kristina
dc.date.accessioned2020-03-23T17:41:13Z
dc.date.available2020-03-23T17:41:13Z
dc.date.issued2016-10-19
dc.description[Proceeding of]: 8th International Conference (SocInfo 2016), Bellevue, WA, USA, November 11-14, 2016.en
dc.description.abstractHuman behavior shows strong daily, weekly, and monthlypatterns. In this work, we demonstrate online behavioral changes thatoccur on a much smaller time scale: minutes, rather than days or weeks.Specifically, we study how people distribute their effort over differenttasks during periods of activity on the Twitter social platform. Wedemonstrate that later in a session on Twitter, people prefer to perform simpler tasks, such as replying and retweeting others' posts, ratherthan composing original messages, and they also tend to post shortermessages. We measure the strength of this effect empirically and statistically using mixed-effects models, and find that the first post of a sessionis up to 25 % more likely to be a composed message, and 10-20 % lesslikely to be a reply or retweet. Qualitatively, our results hold for differentpopulations of Twitter users segmented by how active and well-connectedthey are. Although our work does not resolve the mechanisms responsible for these behavioral changes, our results offer insights for improvinguser experience and engagement on online social platforms.en
dc.description.statusPublicadoes
dc.format.extent15
dc.identifier.bibliographicCitationSpiro, Emma; Ahn, Yong-Yeol, (eds.) Social Informatics: SocInfo 2016, Bellevue, WA, USA, November 11–14, 2016 Proceedings, Part II. New York: Springer. Pp.: 71-86. (Lecture notes in computer science; 10047).en
dc.identifier.doihttps://doi.org/10.1007/978-3-319-47874-6_6
dc.identifier.isbn978-3-319-47873-9 (print)
dc.identifier.isbn978-3-319-47874-6 (online)
dc.identifier.publicationfirstpage71
dc.identifier.publicationissue10047
dc.identifier.publicationlastpage86
dc.identifier.publicationtitleSocial Informatics : 8th International Conference, SocInfo 2016, Bellevue, WA, USA, November 11-14, 2016, Proceedings, Part IIen
dc.identifier.urihttps://hdl.handle.net/10016/30014
dc.identifier.uxxiCC/0000026943
dc.language.isoengen
dc.publisherSpringer
dc.relation.eventdateNovember 11-14, 2016.en
dc.relation.eventnumber8
dc.relation.eventplaceBellevue, (USA)en
dc.relation.eventtitleInternational Conference on Social Informatics (SocInfo 2016)en
dc.relation.ispartofseriesLecture Notes in Computer Scienceen
dc.relation.ispartofseries10047
dc.rights(c) Springer International Publishing AG 2016en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaInformáticaes
dc.subject.ecienciaMatemáticases
dc.subject.otherOnline Social Networken
dc.subject.otherTwitter useren
dc.subject.otherActivity sessionen
dc.subject.otherSocial platformen
dc.subject.otherIndex coefficienten
dc.titleTwitter session analytics: profiling susers' short-term behavioral changesen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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