| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1371/journal.pone.0029796 |
| Emergence of good conduct, scaling and Zipf Laws in human behavioral sequences in an online world. | |
| Thurner S; Szell M; Sinatra R | |
| 发表日期 | 2012 |
| 出处 | PLoS ONE 7 (1): e29796 |
| 出版年 | 2012 |
| 语种 | 英语 |
| 摘要 | We study behavioral action sequences of players in a massive multiplayer online game. In their virtual life players use eight basic actions which allow them to interact with each other. These actions are communication, trade, establishing or breaking friendships and enmities, attack, and punishment. We measure the probabilities for these actions conditional on previous taken and received actions and find a dramatic increase of negative behavior immediately after receiving negative actions. Similarly, positive behavior is intensified by receiving positive actions. We observe a tendency towards anti-persistence in communication sequences. Classifying actions as positive (good) and negative (bad) allows us to define binary "world lines" of lives of individuals. Positive and negative actions are persistent and occur in clusters, indicated by large scaling exponents a~0.87 of the mean square displacement of the world lines. For all eight action types we find strong signs for high levels of repetitiveness, especially for negative actions. We partition behavioral sequences into segments of length n (behavioral "words" and "motifs") and study their statistical properties. We find two approximate power laws in the word ranking distribution, one with an exponent of k~-1 for the ranks up to 100, and another with a lower exponent for higher ranks. The Shannon n-tuple redundancy yields large values and increases in terms of word length, further underscoring the non-trivial statistical properties of behavioral sequences. On the collective, societal level the timeseries of particular actions per day can be understood by a simple mean-reverting log-normal model. |
| 主题 | Advanced Systems Analysis (ASA) |
| URL | http://pure.iiasa.ac.at/id/eprint/10015/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/129383 |
| 推荐引用方式 GB/T 7714 | Thurner S,Szell M,Sinatra R. Emergence of good conduct, scaling and Zipf Laws in human behavioral sequences in an online world.. 2012. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Emergence%20of%20goo（674KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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