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

URN to cite this document:
urn:nbn:de:bvb:355-epub-354075
Meier, Florian ; Aigner, Johannes ; Elsweiler, David
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Date of publication of this fulltext: 16 Mar 2017 11:43


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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