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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Evidence for a bimodal distribution in human communication
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Evidence for a bimodal distribution in human communication

机译：人类交流中双峰分布的证据

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摘要

Interacting human activities underlie the patterns of many social, technological, and economic phenomena. Here we present clear empirical evidence from Short Message correspondence that observed human actions are the result of the interplay of three basic ingredients: Poisson initiation of tasks and decision making for task execution in individual humans as well as interaction among individuals. This interplay leads to new types of interevent time distribution, neither completely Poisson nor power-law, but a bimodal combination of them. We show that the events can be separated into independent bursts which are generated by fre quent mutual interactions in short times following random initia tions of communications in longer times by the individuals. We introduce a minimal model of two interacting priority queues incor porating the three basic ingredients which fits well the distribu tions using the parameters extracted from the empirical data. The model can also embrace a range of realistic social interacting systems such as e-mail and letter communications when taking the time scale of processing into account. Our findings provide insight into various human activities both at the individual and network level. Our analysis and modeling of bimodal activity in human communication from the viewpoint of the interplay between processes of different time scales is likely to shed light on bimodal phenomena in other complex systems, such as interevent times in earthquakes, rainfall, forest fire, and economic systems, etc.
机译：互动的人类活动是许多社会，技术和经济现象的模式的基础。在这里，我们从短消息通信中提供了清晰的经验证据，表明观察到的人类行为是三个基本成分相互作用的结果：泊松任务的启动和个体中任务执行的决策以及个体之间的交互作用。这种相互作用导致了新型的事件时间分布，既不是完全的泊松分布也不是幂律分布，而是它们的双峰组合。我们表明，事件可以被分为独立的突发事件，这些突发事件是由个体在较长时间的随机随机通信之后，在短时间内通过频繁的相互交互而产生的。我们引入了两个相互作用的优先级队列的最小模型，其中包含了三个基本要素，这些基本要素使用从经验数据中提取的参数很好地适合了分布。考虑到处理的时间规模，该模型还可以包含一系列现实的社交交互系统，例如电子邮件和信件通信。我们的发现为个人和网络层面的各种人类活动提供了见识。我们从不同时间尺度的过程之间的相互作用的角度对人类交流中的双峰活动进行分析和建模，这可能会揭示其他复杂系统中的双峰现象，例如地震，降雨，森林大火和经济系统的相互作用时间等

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  • 作者

    Ye Wu; Changsong Zhou; Jinghua Xiao; Juergen Kurths; Hans Joachim Schellnhuber;

  • 作者单位

    Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam School of Science, Beijing University of Posts and elecommunications, Beijing, 100876, China Interdisciplinary Center for Dynamics of Complex Systems, University Potsdam, Am euen Palais 10, D-14469, Germany;

    rnDepartment of Physics, Centre for Nonlinear Studies, and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Hong Kong Baptist University, Kowloon Tong, Hong Kong, China;

    rnSchool of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China;

    rnPotsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen AB24 3UE, United Kingdom;

    rnPotsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    human dynamics; poisson process; power-law; priority-queue; waiting time;

    机译：人类动力;泊松过程权力法优先级队列等待的时间;

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