Identifying the key influencing factors of network public opinion transmission in emergencies
In order to improve the processing efficiency of network public opinion transmission in response to emergencies,the identification model of influencing factors of network public opinion is constructed based on the network visualization method and complex network theory.Based on the system modeling theory,the model can identify the causal factors.According to the correlation of various influencing factors,a visual causal network is formed by using the network modeling technology.Along with the different node failure schemes,the failure simulation analysis of the causal network is carried out.Further,the key influencing factors of network public opinion can be identified through the change degree of network structure.The caus-al network related to Internet public opinion has the typical characteristics of scale-free network.The failure modes based on the ranking of node betweenness and closeness centrality have the most significant influence on the change degree of the causal network structure.The event exposure time,government attention,govern-ment documents,media documents,netizen attention and netizen discussion are the key influencing factors.
emergencynetwork public opinionnetwork visualizationcomplex networkcausation analysis