Replication Data for: Emotion contagion on social media and simulation of intervention strategies after a disaster event: a modelling study

With the advent of climate change and the 5G era, online community is increasingly becoming the main medium for information dissemination after emergency, such as natural disasters. The widespread dissemination of online negative information may generate cyber violence or lead serious adverse psychological outcome. This study aimed to take a natural disaster event involving avoidable deaths and child casualty as an example to identify emotion contagion and conduct simulation intervention. Data derived from Chinese Sina microblog about the aftermath of the 8·13 flash flood in Longcaogou Scenic Area, Sichuan province, China. We first analyzed emotion transmission features and key parameters that influence emotion transmission from posts to comments on social media after a flood disaster and then formulated the emotion-based Post-Susceptible-Comment-Removed (PSCR) model using those key parameters to explain emotion contagion process. The findings indicated that the overall sentiment of posters was negative after this flood and existed three epidemic peaks. The emotional choices of original post users play critical roles in influencing emotional diffusion in public opinion. Appropriate measures for controlling the spreading of harmful emotional expressions could be proposed by adjusting the number of negative and positive posts simultaneously.