Echo Chamber Super-Network in Online social media

Abstract

In online social networks, users of different races and ages are allowed to post, comment, and forward information, and the high-choice environment makes users tend to choose information that matches their cognition, which forms an echo chamber. However, it is unclear how to build a complete echo chamber model to describe the complex interaction behaviors of online social media users. first, a four-layer sub-network of user, event, echo chamber, and timing sequence is established in this paper. Second, the echo chamber super-network is built by leveraging the mapping relationships between the subnetworks. Finally, the echo chamber super-network is built and visualized using a real dataset to analyze the user interaction behaviors that exist in online environments. The results show that the online social media can identify the echo chamber super-network, which provides an idea for online opinion guidance.