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QAnon is an umbrella conspiracy theory that encompasses a wide spectrum ofpeople. The COVID-19 pandemic has helped raise the QAnon conspiracy theory to awide-spreading movement, especially in the US. Here, we study users' dynamicson Twitter related to the QAnon movement (i.e., pro-/anti-QAnon andless-leaning users) in the context of the COVID-19 infodemic and the topicsinvolved using a simple network-based approach. We found that pro- andanti-leaning users show different population dynamics and that lateless-leaning users were mostly anti-QAnon. These trends might have beenaffected by Twitter's suspension strategies. We also found that QAnon clustersinclude many bot users. Furthermore, our results suggest that QAnon continuesto evolve amid the infodemic and does not limit itself to its original idea butinstead extends its reach to create a much larger umbrella conspiracy theory.The network-based approach in this study is important for nowcasting theevolution of the QAnon movement.

A network-based approach to QAnon user dynamics and topic diversity during the COVID-19 infodemic