Statistics of collective human behaviors observed in blog entries
Statistics of collective human behaviors observed in blog entries
复制标题
在博客条目中观察到的集体人类行为的统计数据
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
M. Takayasu
中科院分区：
文献类型：
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作者：
Y. Sano;K. Kaski;M. Takayasu
使用博客中单词出现的时间序列来分析人类的集体行为。正如预期的那样，我们确认波动数量近似于极低频词的泊松分布。对于更频繁的单词，确认了一个不平凡的缩放属性。我们提出了一个简单的模型，该模型表明贡献者数量的波动在这种非泊松行为中发挥着核心作用。
Collective human behaviors are analyzed using the time series of word appearances in blogs. As expected, we confirm that the number of fluctuations is approximated by a Poisson distribution for very-low-frequency words. A non-trivial scaling roperty is confirmed for more-frequent words. We propose a simple model that shows that the fluctuations in the number of contributors is playing the central role in this non-Poissonian behavior.