Power Law

Wang Cheng-Jun edited this page Dec 19, 2016 · 1 revision

计算传播学是计算社会科学的重要分支。它主要关注人类传播行为的可计算性基础,以传播网络分析、传播文本挖掘、数据科学等为主要分析工具,(以非介入地方式)大规模地收集并分析人类传播行为数据,挖掘人类传播行为背后的模式和法则,分析模式背后的生成机制与基本原理,可以被广泛地应用于数据新闻和计算广告等场景,注重编程训练、数学建模、可计算思维。

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http://arxiv.org/pdf/0706.1062v2.pdf [1]

:File:A. Clauset, C.R. Shalizi, and M.E.J. Newman, "Power-law distributions in empirical data" SIAM Review 51(4), 661-703 (2009).pdf

powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions

Jeff Alstott , Ed Bullmore, Dietmar Plenz powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions. Plos One 2014. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0085777 [2]

http://nbviewer.jupyter.org/github/jeffalstott/powerlaw/blob/master/manuscript/Manuscript_Code.ipynb

参考文献

  • A. Clauset, C.R. Shalizi, and M.E.J. Newman, "Power-law distributions in empirical data" SIAM Review 51(4), 661-703 (2009)
  • Jeff Alstott , Ed Bullmore, Dietmar Plenz powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions. January 29, 2014 http://dx.doi.org/10.1371/journal.pone.0085777