在门户浏览期间调整人类行为
Scaling of human behavior during portal browsing
摘要：
我们调查不同的子页面之间的门户网站用户的过渡。一个加权网络的门户网站子页面的边缘权重是相应的过渡重建。链路权重和节点强度的分布在几十年内遵循幂律。节点强度随节点度的增加比线性增加更快。用户在一个子页面上花费的时间分布呈幂律衰减，指数约为1.3。在一次访问期间唯一子页面的数量P（z）的分布是指数的。我们发现一个平方根之间的依赖关系的平均z和总次数的过渡n在一个单一的访问。门户用户的个体路径类似于自吸引行走在加权网络上。分析模型的开发，以恢复部分收集的数据。
英文摘要：
We investigate transitions of portals users between different subpages. A weighted network of portals subpages is reconstructed where edge weights are numbers of corresponding transitions. Distributions of link weights and node strengths follow power laws over several decades. Node strength increases faster than linearly with node degree. The distribution of time spent by the user at one subpage decays as power law with exponent around 1.3. Distribution of numbers P(z) of unique subpages during one visit is exponential. We find a square root dependence between the average z and the total number of transitions n during a single visit. Individual path of portal user resembles of self-attracting walk on the weighted network. Analytical model is developed to recover in part the collected data.
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