Before revision:  In terms of network analysis, we observe significant structure changes in both the user-hashtag bipartite graph and the retweet network. Finally, we measure the retweet cascades. We identify risks for information diffusion models that rely on tweet inter-arrival times and user influence .
After revision:  For networks on Twitter, their structures are altered significantly and some components are more likely to be preserved. For retweet cascades, we observe changes in distributions of tweet inter-arrival time and user influence, which will affect models that rely on tweet inter-arrival times and user influence .