| 来源类型 | Article
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| 规范类型 | 其他
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| DOI | 10.1016/j.physa.2014.09.056
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| Interevent time distributions of human multi-level activity in a virtual world. |
| Mryglod O; Fuchs B; Szell M; Holovatch Y; Thurner S
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| 发表日期 | 2015
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| 出处 | Physica A: Statistical Mechanics and its Applications 419: 681-690
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| 出版年 | 2015
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| 语种 | 英语
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| 摘要 | Studying human behaviour in virtual environments provides extraordinary opportunities for a quantitative analysis of social 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 1,238 consecutive days, and analyze dynamical features of sequences of actions of players. We build on previous work were 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 network analysis. We show that the interevent time distributions of actions in the Pardus universe follow highly non-trivial distribution functions, from which we extract action-type specific characteristic "decay constants." We discuss characteristic features of interevent time distributions, including periodic patterns on different time scales, bursty dynamics, and various functional forms on different time scales. We comment on gender differences of players in emotional actions, and find that while males and females act similarly when performing some positive actions, females are slightly faster for negative actions. We also observe effects on the age of players: more experienced players are generally faster in making decisions about engaging and terminating in enmity and friendship, respectively. |
| 主题 | Advanced Systems Analysis (ASA)
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| 关键词 | Quantitative sociology
Human action dynamics
Time series analysis
Online games
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| URL | http://pure.iiasa.ac.at/id/eprint/11556/
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| 来源智库 | International Institute for Applied Systems Analysis (Austria)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130429
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推荐引用方式
GB/T 7714 |
Mryglod O,Fuchs B,Szell M,et al. Interevent time distributions of human multi-level activity in a virtual world.. 2015.
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