Tweeting your destiny: profiling users in the twitter landscape around an online game

Günter Wallner; Simone Kriglstein; Anders Drachen

doi:10.1109/CIG.2019.8848079

Tweeting your destiny: profiling users in the twitter landscape around an online game

Günter Wallner, Simone Kriglstein, Anders Drachen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

14 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2019 IEEE Conference on Games (CoG)
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	8
ISBN (Electronic)	978-1-7281-1884-0
DOIs	https://doi.org/10.1109/CIG.2019.8848079
Publication status	Published - Aug 2019
Event	2019 IEEE Conference on Games, CoG 2019 - London, United Kingdom Duration: 20 Aug 2019 → 23 Aug 2019

Conference

Conference	2019 IEEE Conference on Games, CoG 2019
Country/Territory	United Kingdom
City	London
Period	20/08/19 → 23/08/19

Keywords

Community analysis
Destiny
Game analytics
MMOG
Profiling
Topic modelling
Twitter

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10.1109/CIG.2019.8848079

Cite this

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title = "Tweeting your destiny: profiling users in the twitter landscape around an online game",

abstract = "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.",

keywords = "Community analysis, Destiny, Game analytics, MMOG, Profiling, Topic modelling, Twitter",

author = "G{\"u}nter Wallner and Simone Kriglstein and Anders Drachen",

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doi = "10.1109/CIG.2019.8848079",

language = "English",

booktitle = "2019 IEEE Conference on Games (CoG)",

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note = "2019 IEEE Conference on Games, CoG 2019 ; Conference date: 20-08-2019 Through 23-08-2019",

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Tweeting your destiny: profiling users in the twitter landscape around an online game. / Wallner, Günter; Kriglstein, Simone; Drachen, Anders.
2019 IEEE Conference on Games (CoG). Piscataway: Institute of Electrical and Electronics Engineers, 2019. 8848079.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Kriglstein, Simone

AU - Drachen, Anders

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Y1 - 2019/8

N2 - 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.

AB - 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.

KW - Community analysis

KW - Destiny

KW - Game analytics

KW - MMOG

KW - Profiling

KW - Topic modelling

KW - Twitter

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DO - 10.1109/CIG.2019.8848079

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PB - Institute of Electrical and Electronics Engineers

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Y2 - 20 August 2019 through 23 August 2019

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Tweeting your destiny: profiling users in the twitter landscape around an online game

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Keywords

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