堆栈交换问答社区中的自激励和交叉激励

Tiago Santos, Simon Walk, Roman Kern, M. Strohmaier, D. Helic
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引用次数: 7

摘要

在本文中,我们量化了自激励和交叉激励对堆栈交换问答(Q&A)社区中用户活动的时间发展的影响。我们通过利用霍克斯流程研究了增长和下降的Stack Exchange社区之间以及致力于STEM和人文主题的社区之间用户兴奋程度的差异。我们发现,成长中的社区表现出早期阶段,一小部分核心高级用户对整个社区的反应产生了高度的交叉激励,并且总体上表现出强烈的长期自我激励,特别是休闲用户的交叉激励,这表明社区对不太活跃的用户开放。此外,我们观察到人文学科社区表现出长期的超级用户交叉激励,而STEM社区的活动更均匀地分布于普通用户的自激励。我们通过排列测试验证了我们的发现,并通过一系列预测实验量化了这些激发效应的影响。我们的工作使研究人员能够定量地评估问答社区的演变和活动潜力。
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Self- and Cross-Excitation in Stack Exchange Question & Answer Communities
In this paper, we quantify the impact of self- and cross-excitation on the temporal development of user activity in Stack Exchange Question & Answer (Q&A) communities. We study differences in user excitation between growing and declining Stack Exchange communities, and between those dedicated to STEM and humanities topics by leveraging Hawkes processes. We find that growing communities exhibit early stage, high cross-excitation by a small core of power users reacting to the community as a whole, and strong long-term self-excitation in general and cross-excitation by casual users in particular, suggesting community openness towards less active users. Further, we observe that communities in the humanities exhibit long-term power user cross-excitation, whereas in STEM communities activity is more evenly distributed towards casual user self-excitation. We validate our findings via permutation tests and quantify the impact of these excitation effects with a range of prediction experiments. Our work enables researchers to quantitatively assess the evolution and activity potential of Q&A communities.
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