The evolution of topics in on-line LDA models is usually shown using the most probable words from the word-topic distributions (Hoffman et al., 2010;Lau et al., 2012;Zhai and Boyd-Graber, 2013).
the same top words can appear in different topics, making differences between topics hard to show.