Empirical analysis on the human dynamics of blogging behavior on GitHub
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- 作者：Deng-Cheng Yana ; Zong-Wen Weia ; Xiao-Pu Hanb ; Bing-Hong Wanga ; c ; d ; bhwang@ustc.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Human dynamics ; Blogging behavior ; Power-law distribution ; Burstiness ; Memory
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2017
- 出版时间：1 January 2017
- 年：2017
- 卷：465
- 期：Complete
- 页码：775-781
- 全文大小：1672 K
文摘
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Distributions of both commit number and inter-event time fit power-law form.
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Developers’ activity positively correlates to inter-event time distribution.
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GitHub Pages is of strong burstiness and weak memory as a whole.
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Elite developers are of weak burstiness and memory and have long-term interest.