IC always bad? : Information Cocooning as a Group Emotional Stabilization Role in Social Networks

Abstract

This research aims to investigate the effects of information cocooning on group mood changes caused by information spreading. The simulation of the realistic network evolution process is realized at the structural level by building a network evolution model based on individual viewpoints. Abstracting the accuracy of the real intelligent recommendation process by setting RA (Recommended Accuracy). By analyzing the information cocoon effect due to the recommendation in the comment section, we provide the structural basis of spreading for the dynamics model. A dynamics model of emotion spreading is developed to explore the trend of individual emotion spreading and to quantify the change of group emotion. Through experiments and analysis, this paper concludes that the information cocoon has a positive effect on the stability of group emotions, and that the H-CAC (Hidden Comment Area Cocoon) structure exists widely in real online social networks, and can produce a protective "harbor" effect in the competition of public opinion and cognitive games. The validity of the model is verified by comparison with real cases and generalization ability experiments. This work provides a multi-perspective analysis and visualization, providing more quantitative results. The research is expected to provide new perspectives and tools for understanding the reality of information cocooning and expanding the scenarios of its use.