  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.
