Research on Social Network Transmission Behavior Based on SIMR Model Integrated Baidu Index

In the research of online public opinion information dissemination, the issues such as people’s questioning status and their behavior of conducting independent searches for verification are often overlooked. This paper utilized the methods like theoretical model construction and parameter collection and substitution to develop a communication model that integrated Baidu Index and SIMR, and conducted numerical analysis and simulation methods by Python. The results indicated that incorporating user search data parameters facilitated the detection and correction of state transitions in communication trends, thus providing a more accurate reference for predicting and analyzing the dissemination of online public opinion information.