Meier, FlorianAigner, JohannesElsweiler, David2025-06-182025-06-182017-01-011633-131110.18452/1452https://ror.circle-u.eu/handle/123456789/1138583While 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.OPEN020 Bibliotheks- und Informationswissenschafteninformation behaviourTwitterddc:020020 Bibliotheks- und Informationswissenschaftclickstream dataclusteringUsing Sessions from Clickstream Data Analysis to Uncover Different Types of Twitter Behaviourpublication0202 electrical engineering, electronic engineering, information engineering02 engineering and technologydoi_dedup___:cb9b8d745ffcfe503f3a8ee76447299e