Joint Network Diffusion of Emotions and Behavior in Collective Action

• In Event: 40854 - Advances in the Sociology of Emotions

Abstract

In episodes of collective action, emotions like anger or hope spread through social networks alongside the behavior of the participants. How do we explain the spread of emotions and behavior through social networks? Conventional network diffusion models assume a single process of behavioral diffusion. However, emotional diffusion often occurs at a different pace from high-cost collective action behavior. I propose a joint-diffusion model to capture the interplay of a fast emotional diffusion process and a slow behavioral diffusion process. In the model the two processes are separate but integrated. I demonstrate how the predictions of collective action mobilization change significantly under this joint-diffusion model than under conventional network diffusion models. To illustrate the model's value, I integrate findings from studies utilizing computer simulations, a survey experiment, and digital data. The first two studies validate the model's assumptions. The third suggests that the structure of digital networks constrains the impact of emotional diffusion on mobilization. I discuss implications for network diffusion theories, collective action mobilization, and social media studies.

Author

• Yuan Hsiao, Yale University