论文标题
堆栈的友好性向新手溢出
Friendliness Of Stack Overflow Towards Newbies
论文作者
论文摘要
储层计算是预测湍流的有力工具，其简单的架构具有处理大型系统的计算效率。然而，其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间，然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用，该系统模拟了湍流的若干特征。我们表明，使用径向基函数作为非线性投影器，即使只有部分观测并且不知道控制方程，也能稳健地捕捉复杂的系统非线性。最后，我们表明，当测量稀疏、不完整且带有噪声，甚至控制方程变得不准确时，我们的网络仍然可以产生相当准确的预测，从而为实际湍流系统的无模型预测铺平了道路。
In today's modern digital world, we have a number of online Question and Answer platforms like Stack Exchange, Quora, and GFG that serve as a medium for people to communicate and help each other. In this paper, we analyzed the effectiveness of Stack Overflow in helping newbies to programming. Every user on this platform goes through a journey. For the first 12 months, we consider them to be a newbie. Post 12 months they come under one of the following categories: Experienced, Lurkers, or Inquisitive. Each question asked has tags assigned to it and we observe that questions with some specific tags have a faster response time indicating an active community in that field over others. The platform had a steady growth up to 2013 after which it started declining, but recently during the pandemic 2020, we can see rejuvenated activity on the platform.
