Analyzing Implicit Social Networks in Multiplayer Online Games

被引:39
|
作者
Iosup, Alexandru [1 ]
van de Bovenkamp, Ruud [2 ]
Shen, Siqi [3 ]
Jia, Adele Lu [3 ]
Kuipers, Fernando [4 ]
机构
[1] Delft Univ Technol, Distributed Syst PDS Grp, NL-2600 AA Delft, Netherlands
[2] Delft Univ Technol, Network Architectures & Serv NAS Grp, NL-2600 AA Delft, Netherlands
[3] Delft Univ Technol, PDS Grp, NL-2600 AA Delft, Netherlands
[4] Delft Univ Technol, NAS Grp, NL-2600 AA Delft, Netherlands
关键词
data mining; Internet applications; learning; multiplayer online games; online social games; social networks;
D O I
10.1109/MIC.2014.19
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Understanding the social structures that people implicitly form when playing networked games helps developers create innovative gaming services to benefit both players and operators. But how can we extract and analyze this implicit social structure? The authors' proposed formalism suggests various ways to map interactions to social structure. Applying this formalism to real-world data collected from three game genres reveals the implications of the mappings on in-game and gaming-related services, ranging from network and socially aware player matchmaking to an investigation of social network robustness against player departure.
引用
收藏
页码:36 / 44
页数:9
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