Currently, the relation between edit behavior, link structure, and article quality is not well-understood in our community, notwithstanding that this relationship may facilitate editing processes and content quality on Wikipedia. To shed light on this complex relation, we classify article edits and perform an in-depth analysis of editing sequences for 4941 articles. Additionally, we build a network of internal Wikipedia hyperlinks between articles. Using this data, we compute parsimonious metrics to quantify editing and linking behavior. Our analysis unveils that conflicted articles differ substantially from others in almost all metrics, while we also detect slight trends for high-quality articles. With our network analysis we find evidence indicating that controversial and edit war articles frequently span structural holes in the Wikipedia network. Finally, in a prediction experiment we demonstrate the usefulness of edit behavior patterns and network properties in predicting conflict and article quality. With our work, we assist online collaboration communities, especially Wikipedia, in long-term improvement of content quality by offering valuable insights about the interplay of article quality, controversies and edit wars, editing behavior, and network properties via sequence-based edit and network-based article metrics.

中文翻译：

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关联维基百科文章质量以编辑行为和链接结构

当前，在我们的社区中，编辑行为，链接结构和文章质量之间的关系尚不清楚，尽管这种关系可能有助于Wikipedia上的编辑过程和内容质量。为了阐明这种复杂的关系，我们对文章编辑进行分类，并对4941条文章的编辑序列进行深入分析。此外，我们在文章之间建立了内部Wikipedia超链接网络。使用此数据，我们可以计算简化指标以量化编辑和链接行为。我们的分析表明，冲突的文章几乎在所有指标上都与其他文章大不相同，同时我们还发现了高质量文章的轻微趋势。通过我们的网络分析，我们发现证据表明存在争议的战争文章和编辑战争文章经常跨越Wikipedia网络中的结构漏洞。最后，在预测实验中，我们演示了编辑行为模式和网络属性在预测冲突和文章质量中的作用。通过我们的工作，我们通过基于序列的编辑和网络提供有关文章质量，争议和编辑战争，编辑行为以及网络属性之间相互作用的宝贵见解，从而帮助在线协作社区（尤其是Wikipedia）长期改善内容质量基于文章的指标。