User Behavior, Social Networking, and Playing Style in Online And

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User Behavior, Social Networking, and Playing Style in Online and Face to Face Bridge Communities Mihaela Balint, Vlad Posea, Alexandru Dimitriu Alexandru Iosup Politehnica University of Bucharest, Delft University of Technology, Romania The Netherlands Massively Social Gaming Bridge as traditional card game (online) games with massive numbers • Duplicate bridge: same hand at of players (100K+), for which social every table, eliminates luck interaction improves the gaming experience • Millions of players world-wide • Only team game at World Mind Sport Bridge as massively social game • Complex agreements between partners (like a social partnership) • A good pair forms in a very long Key market advantage: period of time (like a social …) Use [Social Network] analysis to improve gameplay experience • Online stats, pairing, ranking? Zynga CTO • Use SocNet analysis NetGames, Taiwan, 2010 – Analysis of BBO Fans 1 Key Idea: Social Network Analysis Play Relationships=Social Graph Edges Loco BBO BBO Fans Period Jan 1-Dec 31, 2009 Sep 5-Oct 15, 2009 Tournaments/Week 4 n/a 21 Example: Player Types Players 275 142,401 8,609 • Community Builder Hands 28,756 3,115,536 565,799 plays many hands with many other players • Community Member plays mostly with a few community members • Faithful Player 1-2 stable partners • Random Player no stable partner (Memory jog: Creating a bridge relationship takes longer than creating a relationship in FaceBook, Orkut, …) NetGames, Taiwan, 2010 – Analysis of BBO Fans 2 Massively Social Gaming • Million-users, multi-bn. market http://BridgeHelper.org • Content, World Sim, Analytics Current Technology Our Vision • Complete game mechanics • Social Network Analysis + • Basic social network tools Applications = BridgeHelper • Makes players unhappy • Many starters quit Ongoing Work • More analysis • Ranking • Matchmaking The Future • Scalability, efficiency • Happy players NetGames, Taiwan, 2010 – Analysis of BBO Fans 3.

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