This is understandable since by introducing author links between tweets, to some degree we are averaging the latent vectors of tweets written by the same person.
for a tweet whose topic is vague and hard to detect, it will get some prior knowledge of topics through the author links (hence increase ATOP), whereas this prior knowledge becomes noise for the tweets that are already handled very well by the model (hence decrease TOP10 and RR).