Influence of User Emotion on Information Propagation with Public Sentiment in the Chinese Sina-microblog

TL;DR

This paper introduces an emotion-based propagation model for social networks that considers user emotions and their impact on information spread and public sentiment during events.

Contribution

It proposes the E-SFI model incorporating emotional categories and user choices, providing a new framework for analyzing information propagation and public sentiment development.

Findings

Forwarding probabilities align with real accident data.

Emotional choices significantly influence information spread.

Sensitivity analysis identifies key factors affecting public sentiment.

Abstract

Social networks are flooded with different pieces of emotional information, the propagation of which helps to shape the development of public sentiment. To help designing effective communication strategies during the entire development of an event,we propose an emotion-based susceptible-forwarding-immune (E-SFI) propagation dynamic model, that takes into account of the categories of emotions into positive, neutral and negative and the emotional choices of user communities, to investigate the information propagation process that leads to public sentiment. Our Model-based analytic and numerical analyses show that three types of forwarding probabilities involved in our E-SFI model are in accordance with the actual accident situation, and our sensitivity analyses describe important factors that affect the emotional choices of user communities in support for decision strategies to guide the public sentiment.