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In online social media systems users are not only posting, consuming, andresharing content, but also creating new and destroying existing connections inthe underlying social network. While each of these two types of dynamics hasindividually been studied in the past, much less is known about the connectionbetween the two. How does user information posting and seeking behaviorinteract with the evolution of the underlying social network structure?  Here, we study ways in which network structure reacts to users posting andsharing content. We examine the complete dynamics of the Twitter informationnetwork, where users post and reshare information while they also create anddestroy connections. We find that the dynamics of network structure can becharacterized by steady rates of change, interrupted by sudden bursts.Information diffusion in the form of cascades of post re-sharing often createssuch sudden bursts of new connections, which significantly change users' localnetwork structure. These bursts transform users' networks of followers tobecome structurally more cohesive as well as more homogenous in terms offollower interests. We also explore the effect of the information content onthe dynamics of the network and find evidence that the appearance of new topicsand real-world events can lead to significant changes in edge creations anddeletions. Lastly, we develop a model that quantifies the dynamics of thenetwork and the occurrence of these bursts as a function of the informationspreading through the network. The model can successfully predict whichinformation diffusion events will lead to bursts in network dynamics.

The Bursty Dynamics of the Twitter Information Network