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摘要翻译：
我们分析了几年来几个流行网页的访问统计数据。每天下载的图表是高度不均匀的，长时间的低活动被突发的大流量打断。这些突发事件是由于提到该页面的博客条目的雪崩。我们用分支过程理论定量地解释了这种行为。我们推断这些发现来构建整个网络的模型。根据该模型，网页之间对观看者的竞争将web推入自组织的临界状态。在这种情况下，最感兴趣的网页处于接近临界状态，流量强度呈幂律分布。
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英文标题：
《A theory of web traffic》
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作者：
M.V. Simkin and V.P. Roychowdhury
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最新提交年份：
2008
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分类信息：
一级分类：Physics 物理学
二级分类：Physics and Society 物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Physics 物理学
二级分类：Statistical Mechanics 统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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一级分类：Physics 物理学
二级分类：Adaptation and Self-Organizing Systems 自适应和自组织系统
分类描述：Adaptation, self-organizing systems, statistical physics, fluctuating systems, stochastic processes, interacting particle systems, machine learning
自适应，自组织系统，统计物理，波动系统，随机过程，相互作用粒子系统，机器学习
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英文摘要：
We analyze access statistics of several popular webpages for a period of several years. The graphs of daily downloads are highly non-homogeneous with long periods of low activity interrupted by bursts of heavy traffic. These bursts are due to avalanches of blog entries, referring to the page. We quantitatively explain this behavior using the theory of branching processes. We extrapolate these findings to construct a model of the entire web. According to the model, the competition between webpages for viewers pushes the web into a self-organized critical state. In this regime, the most interesting webpages are in a near-critical state, with a power law distribution of traffic intensity.
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PDF链接：
https://arxiv.org/pdf/711.1235
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