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Using Sessions from Clickstream Data Analysis to Uncover
Different Types of Twitter Behaviour

Meier, Florian, Aigner, Johannes and Elsweiler, David (2017) Using Sessions from Clickstream Data Analysis to Uncover
Different Types of Twitter Behaviour.
In: Gäde, Maria, (ed.) Everything Changes, Everything Stays the Same? Understanding Information Spaces. Proc. of the 15th Internat. Symp. of Information Science (ISI 2017) Berlin, Germany, 13th – 15th March 2017. Schriften zur Informationswissenschaft, 70. Hülsbusch, Glückstadt, pp. 237-251. ISBN 978-3-86488-117-6.

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Date of publication of this fulltext: 16 Mar 2017 11:43

Other URL: http://isi2017.ib.hu-berlin.de/ISI_17_ONLINE_FINAL.pdf


Abstract

While much is known about how Twitter is used for specific tasks or by particular groups of users, we understand surprisingly little about how the service is used generally on a daily basis. To learn more about general Twitter behaviour we perform a cluster analysis on a rich set of longitudinal interaction log data describing interactions 44 users had with the Twitter website over a 5 month period. We report on and interpret 5 clusters representing common usage patterns with the service.


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Item type:Book section
Date:March 2017
Institutions:Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft
Keywords:Twitter; clickstream data; clustering; information behaviour
Dewey Decimal Classification:000 Computer science, information & general works > 020 Library & information sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:35407
Owner only: item control page

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