摘要：

Abstract:

【Purpose/significance】Multi-angle analysis of the spreading process of financial public opinion events helps to grasp the

rhythm of public opinion expectation management, and propose targeted financial public opinion management and control strategies.

【Method/progress】This study collected data through web crawlers from Sina Weibo, and used Gephi and ROSTCM6 for social net⁃

work analysis and content analysis. By analyzing and discussing the dissemination network of financial public opinion, key nodes, neti⁃

zen sentiment classification, and public opinion information content, we explored the characteristics and laws of the spread of financial

public opinion, and put forward corresponding management suggestions.【Result/conclusion】Financial public opinion is different

from other types of public opinion events in that the dissemination network structure is relatively scattered, and the dissemination of in⁃

formation mostly relies on opinion leader nodes. Although the attitude of netizens is more rational, the content of the information con⁃

cerned is more scattered.【Innovation/limitation】The innovation of this study lies in the multi-faceted analysis of unexpected finan⁃

cial public opinion events. The limitations of this study are in two aspects. One is that the research sample topics are relatively single,

which leads to limitations in the representativeness of the research conclusions; the other is that the data source platform is single, and

the similarities and differences in the dissemination of financial public opinion events on different platforms are not considered.