Edge importance measurement is a very important issue in information dissemination. Edge is the carrier of information dissemination, and edges at different locations have different information loads and propagation capabilities. Removing some edges that have a significant impact on communication is of great importance in curbing the spread of rumors and maximizing the dissemination of public information. Information dissemination is susceptible to factors such as communicators, communication channels and communication environment. Based on these observations, by comprehensively considering various factors affecting information dissemination, this paper proposes an edge importance measurement method based on information dissemination characteristics: ISM (Information Spreading Model). On nine real network datasets, ISM is compared with four classical edge importance methods such as Jaccard coefficient, Bridgeness index, Betweenness centrality, and Reachability index. The experimental results show that the proposed method is superior to other commonly used methods in the process of network connectivity and diffusion dynamics.