New technological tools and globalized communication platforms in the Internet perspective have brought new opportunities and challenges to the overseas dissemination of Chinese traditional music. In this paper, we use python software to capture 19,471 comment data related to Chinese traditional music on ByteDance Tiktok. Based on the information entropy theory, a node influence model is constructed, and the node influence is measured in terms of the number of terminal nodes and the average degree, so as to deeply analyze the law of information dissemination, and reasonably control and optimize the evaluation of the dissemination path. The results show that the information entropy model can be used to determine the intensity of themes on different dates, among which the entropy values of theme 5, theme 3 and theme 9 are relatively the largest. The communication influence in the new media environment decreases with the increase of average degree and increases with the increase of the number of network nodes. The experimental comparison results show that the algorithm in this paper can effectively select the information dissemination path with high influence.
