Collaborations such as Wikipedia are a key part of the value of the modern
Internet. At the same time there is concern that these collaborations are
threatened by high levels of member turnover. In this paper we borrow ideas
from topic analysis to editor activity on Wikipedia over time into a latent
space that offers an insight into the evolving patterns of editor behavior.
This latent space representation reveals a number of different categories of
editor (e.g. content experts, social networkers) and we show that it does
provide a signal that predicts an editor's departure from the community. We
also show that long term editors gradually diversify their participation by
shifting edit preference from one or two namespaces to multiple namespaces and
experience relatively soft evolution in their editor profiles, while short term
editors generally distribute their contribution randomly among the namespaces
and experience considerably fluctuated evolution in their editor profiles.

本篇文章利用主题分析的思想将 Wikipedia 编辑历史活动转化成潜在空间的表示方法，揭示了多种不同类别的编辑者（如内容专家、社交网络者），并展示了这种表示方法可以预测编辑者离开社区的信号；同时，研究结果还表明长期编辑者逐渐实现命名空间的多元化，编辑者属性相对稳定，而短期编辑者的贡献分布随机，编辑者属性波动较大。