کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7376814 | 1480108 | 2017 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Empirical analysis on the human dynamics of blogging behavior on GitHub
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
فیزیک ریاضی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Empirical analysis on the human dynamics of blogging behavior on GitHub Empirical analysis on the human dynamics of blogging behavior on GitHub](/preview/png/7376814.png)
چکیده انگلیسی
GitHub is a social collaborative coding platform on which software developers not only collaborate on codes but also share knowledge through blogs using GitHub Pages. In this article, we analyze the blogging behavior of software developers on GitHub Pages. The results show that both the commit number and the inter-event time of two consecutive blogging actions follow heavy-tailed distribution. We further observe a significant variety of activity among individual developers, and a strongly positive correlation between the activity and the power-law exponent of the inter-event time distribution. We also find a difference between the user behaviors of GitHub Pages and other online systems which is driven by the diversity of users and length of contents. In addition, our result shows an obvious difference between the majority of developers and elite developers in their burstiness property.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 465, 1 January 2017, Pages 775-781
Journal: Physica A: Statistical Mechanics and its Applications - Volume 465, 1 January 2017, Pages 775-781
نویسندگان
Deng-Cheng Yan, Zong-Wen Wei, Xiao-Pu Han, Bing-Hong Wang,