Complexity science and social media: Network modeling in following “Tweets”

This paper explores the behavior of the Twitter social media network through the lens of complex systems and agent-based models. By examining the behavior of power-law-based preferential attachment networks, taking data from existing Twitter accounts, and creating a basic model of the network using these data and NetLogo modeling software, this research effort provides further insight into the processes involved in community self-organization through Twitter.