The Evolution of Interaction Networks in Massively Multiplayer Online Games

被引:0
|
作者
Putzke, Johannes [1 ]
Fischbach, Kai [1 ]
Schoder, Detlef
Gloor, Peter A. [2 ]
机构
[1] Univ Cologne, Dept Informat Syst & Informat Management, D-5000 Cologne 41, Germany
[2] MIT, Ctr Collect Intelligence, Cambridge, MA 02139 USA
来源
关键词
actor-based model; exponential random graph model; massively multiplayer online game; MMOG; performance; SIENA; social capital; social network analysis; SOCIAL NETWORKS; INFORMANT ACCURACY; COMMUNICATION; PERFORMANCE; MODELS; TEAM; COOPERATION; PERSISTENCE; INTEGRATION; SIZE;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article examines the co-evolution of players' individual performance and their interaction network in a Massively Multiplayer Online Game (MMOG). The objective is to test whether the application of theories from the real world is valid in virtual worlds. While the results indicate that the structural effects and demographic variables active in the real world influence the evolution of the players' interaction network in MMOGs (e. g. transitivity, reciprocity, and homophily), they do not provide evidence that players' structural embeddedness in the interaction network influences player performance. These findings have important implications for researchers and practitioners who need to understand social processes in MMOGs (e. g., when launching marketing campaigns in MMOGs) or who study MMOGs and then use their findings to draw conclusions about the real world (e. g., when analyzing the relationship between employee performance and network structure).
引用
收藏
页码:69 / 94
页数:26
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