Cascading propagation of events in hierarchical supply chain networks

The stock market can significantly reflect the cascading propagation relationships between enterprises related to financial events. To explore this cascading propagation relationship, this paper adopts complex network dynamics and network topology analysis to examine the propagation of stock price pre-increase event and the influencing mechanisms of event propagation on enterprise stock price growth in hierarchical supply chain networks. By defining enterprise centrality, this paper proposes a hierarchical network method centered on the core enterprise, studied two types of node cascading propagation relationship, proposed a cascading propagation model of event to quantitatively describe the association strength between two enterprises and to analyze the propagation probabilities of event between enterprises. Experiments show that the proposed network cascading propagation model can accurately reflect the cascading dynamic behavior of supply chain network, and provide a reference for the control and prevention of cascading propagation in actual networks.