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arXiv 1007.4440physics.soc-phcs.SI
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相关人体动力学建模

Modeling correlated human dynamics

Peng Wang, Tao Zhou, Xiao-Pu Han, Bing-Hong Wang

摘要:

我们实证研究的活动模式的个人博客张贴,并发现显着的记忆效应。记忆系数先以幂律衰减,然后变成指数形式。此外,事件间的时间分布显示出重尾的性质与幂律指数依赖于活动。我们的研究结果挑战了优先队列模型,不能再现记忆效应或活动依赖的分布。我们认为还有另一种由个人兴趣驱动的人类活动模式,其特征是强烈的记忆效应。因此,我们提出了一个简单的基于时间偏好的模型,它可以很好地再现重尾性质和强记忆效应。这项工作有助于理解人类行为的时间性和可预测性。

英文摘要:

We empirically study the activity patterns of individual blog-posting and find significant memory effects. The memory coefficient first decays in a power law and then turns to an exponential form. Moreover, the inter-event time distribution displays a heavy-tailed nature with power-law exponent dependent on the activity. Our findings challenge the priority-queue model that can not reproduce the memory effects or the activity-dependent distributions. We think there is another kind of human activity patterns driven by personal interests and characterized by strong memory effects. Accordingly, we propose a simple model based on temporal preference, which can well reproduce both the heavy-tailed nature and the strong memory effects. This work helps in understanding both the temporal regularities and the predictability of human behaviors.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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