Choi Jeehye, Hiraoka Takayuki, Jo Hang-Hyun
Asia Pacific Center for Theoretical Physics, Pohang 37673, Republic of Korea.
Department of Physics, The Catholic University of Korea, Bucheon 14662, Republic of Korea.
Phys Rev E. 2021 Jul;104(1-1):014312. doi: 10.1103/PhysRevE.104.014312.
The origin of non-Poissonian or bursty temporal patterns observed in various data sets for human social dynamics has been extensively studied, yet its understanding still remains incomplete. Considering the fact that humans are social beings, a fundamental question arises: Is the bursty human dynamics dominated by individual characteristics or by interaction between individuals? In this paper we address this question by analyzing the Wikipedia edit history to see how spontaneous individual editors are in initiating bursty periods of editing, i.e., individual-driven burstiness, and to what extent such editors' behaviors are driven by interaction with other editors in those periods, i.e., interaction-driven burstiness. We quantify the degree of initiative (DoI) of an editor of interest in each Wikipedia article by using the statistics of bursty periods containing the editor's edits. The integrated value of the DoI over all relevant timescales reveals which is dominant between individual-driven and interaction-driven burstiness. We empirically find that this value tends to be larger for weaker temporal correlations in the editor's editing behavior and/or stronger editorial correlations. These empirical findings are successfully confirmed by deriving an analytic form of the DoI from a model capturing the essential features of the edit sequence. Thus our approach provides a deeper insight into the origin and underlying mechanisms of bursts in human social dynamics.
在人类社会动态的各种数据集中观察到的非泊松或突发时间模式的起源已得到广泛研究，但其理解仍不完整。考虑到人类是社会动物，一个基本问题出现了：突发的人类动态是由个体特征主导还是由个体之间的相互作用主导？在本文中，我们通过分析维基百科编辑历史来解决这个问题，以了解自发的个体编辑在启动突发编辑期（即个体驱动的突发性）方面的程度，以及在这些时期此类编辑的行为在多大程度上受到与其他编辑的相互作用的驱动（即相互作用驱动的突发性）。我们通过使用包含感兴趣编辑者编辑内容的突发期统计数据，来量化每个维基百科文章中感兴趣编辑者的主动性程度（DoI）。DoI在所有相关时间尺度上的积分值揭示了个体驱动和相互作用驱动的突发性之间哪一个占主导地位。我们通过实证发现，对于编辑行为中较弱的时间相关性和/或较强的编辑相关性，这个值往往更大。通过从一个捕捉编辑序列基本特征的模型中推导DoI的解析形式，这些实证结果得到了成功证实。因此，我们的方法为人类社会动态中突发的起源和潜在机制提供了更深入的见解。
