Samenvatting
Social media has become a major communication channel for communities centered around video games. Consequently, social media offers a rich data source to study online communities and the discussions evolving around games. Towards this end, we explore a large-scale dataset consisting of over 1 million tweets related to the online multiplayer shooter Destiny and spanning a time period of about 14 months using unsupervised clustering and topic modelling. Furthermore, we correlate Twitter activity of over 3,000 players with their playtime. Our results contribute to the understanding of online player communities by identifying distinct player groups with respect to their Twitter characteristics, describing subgroups within the Destiny community, and uncovering broad topics of community interest.
Originele taal-2 | Engels |
---|---|
Titel | 2019 IEEE Conference on Games (CoG) |
Plaats van productie | Piscataway |
Uitgeverij | Institute of Electrical and Electronics Engineers |
Aantal pagina's | 8 |
ISBN van elektronische versie | 978-1-7281-1884-0 |
DOI's | |
Status | Gepubliceerd - aug. 2019 |
Evenement | 2019 IEEE Conference on Games, CoG 2019 - London, Verenigd Koninkrijk Duur: 20 aug. 2019 → 23 aug. 2019 |
Congres
Congres | 2019 IEEE Conference on Games, CoG 2019 |
---|---|
Land/Regio | Verenigd Koninkrijk |
Stad | London |
Periode | 20/08/19 → 23/08/19 |