Inside the group: investigating social structures in player groups and their influence on activity

Michael Helfried Schiller, Günter Wallner (Corresponding author), Christopher Schinnerl, Alexander Monte Calvo, Johanna Pirker, Rafet Sifa, Anders Drachen

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Scopus)
15 Downloads (Pure)


Social features, matchmaking, and grouping functions are key elements of online multi-player experiences. Understanding how social connections form in and around games and their relationship to in-game activity offers insights for building and maintaining player bases and for improving engagement and retention. This paper presents an analysis of the groups formed by users of the - a social matchmaking website for different commercial titles, including Destiny on which we focus in this paper. Groups formed on can be described across a range of social network related metrics. Also, the social network formed within a group is evaluated in combination with user-provided demographic and preference data. Archetypal analysis is used to classify groups into archetypes and a correlation analysis is presented covering the effect of group characteristics on in-game-activity. Finally, weekly activity profiles are described. Our results indicate that group size as well as the number of moderators within a group and their connectedness to other team members influences a group's activity. We also identified four prototypical types of groups with different characteristics concerning composition, social cohesion, and activity.
Original languageEnglish
Article number8421042
Pages (from-to)416-425
Number of pages10
JournalIEEE Transactions on Games
Issue number4
Early online date2018
Publication statusPublished - 1 Dec 2019
Externally publishedYes


  • Destiny
  • Game analytics
  • Matchmaking
  • Social networks


Dive into the research topics of 'Inside the group: investigating social structures in player groups and their influence on activity'. Together they form a unique fingerprint.

Cite this