This paper aims at the propagation path and influencing factors of false information in Weibo comments.The Dijkstra algorithm is used for visual analysis,and the propagation mechanism of false information is studied by analyzing the factors of network topology structure,node characteristics,information propagation speed and the strength of social relationship.By collecting and preprocessing Weibo comment data,the network topology structure is constructed.This paper applies the Dijkstra algorithm to calculate and visualize the propagation path of false information,combines with time series analysis to study the dynamic changes of the path,and concludes that the topology structure,node characteristics,and social relationship strength of social networks significantly affect the propagation path and speed of false information.And identifying the key nodes and propagation path helps to curb the spread of false information.It provides a new perspective for understanding the mechanism of false information propagation and theoretical support for preventing false information propagation.
social networkfalse informationnetwork topology structureinformation propagation pathDijkstra algorithm
维普
万方数据
