Abstract: Considering the key points of events, this paper studied the interactions between different information in pan-entertainment events in social networks. By analogy with the population competition model in ecology, the diffusion process of relevant information to be promoted and eliminated players in events was regarded as the result of interaction between different types of information, such as competing with each other for users to join the relevant diffusion network to increase the diffusion scale. The paper combines the division of different stages of event information diffusion, and takes the topic of ‘Produce 101’ as an example to construct Lotka-Volterra model for research. The fitting results for the actual data show that information interactions change at different stages of the event. In the early stage, the results come from the accumulation of users, while in the later stage, it is more dependent on the fan effect, and all types of information are always in a state of coexistence. The elimination mechanism of the show has a certain influence on the diffusion of information about different players, but its influence will be weakened by the fan effect. Diffusion data combination model can quantify the dynamic impact of offline events on online information diffusion and the interaction between information, and can be applied to research on other types of information interaction.