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原文連結
論文資訊
- 類型：已發表論文
- 日期：2014-10-22
摘要
Studying human behavior in virtual environments provides extraordinary opportunities for a quantitative analysis of 社會 phenomena with levels of accuracy that approach those of the natural sciences. In this paper we use records of player activities in the massive multiplayer online game Pardus over 1238 consecutive days, and analyze dynamical features of sequences of actions of players. We build on previous work where temporal structures of human actions of the same type were quantified, and provide an empirical understanding of human actions of different types. This study of multi-level human activity can be seen as a dynamic counterpart of static multiplex 網絡 analysis. We show that the interevent time distributions of actions in the Pardus universe follow highly non-trivial distribution f
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