Users in social networks whose posts stay at the top of their followers'{}
feeds the longest time are more likely to be noticed. Can we design an online
algorithm to help them decide when to post to stay at the top? In this paper,
we address this question as a novel optimal control problem for jump stochastic
differential equations. For a wide variety of feed dynamics, we show that the
optimal broadcasting intensity for any user is surprisingly simple -- it is
given by the position of her most recent post on each of her follower's feeds.
As a consequence, we are able to develop a simple and highly efficient online
algorithm, RedQueen, to sample the optimal times for the user to post.
Experiments on both synthetic and real data gathered from Twitter show that our
algorithm is able to consistently make a user's posts more visible over time,
is robust to volume changes on her followers' feeds, and significantly
outperforms the state of the art.

本研究基于 jump stochastic differential equations 算法提出了一个名为 RedQueen 的在线算法，通过控制用户在社交网络上发布帖子的时间，使之能够一直停留在他们关注者的动态列表的顶部，实现用户帖子的更好可见性。该算法通过追踪用户最新帖子的位置计算最优的广播强度，并应用于 Twitter 的真实和合成数据集中，表现出了显著的性能优势。