Abstract: 【Purpose/significance】The paper analyzes the form structure and evolution feature on information transmission network of university new media,so as to promote the effective information dissemination and enhance the guidance of public opinion.【Method/process】Taking official microblogs of universities as examples,this paper analyzes the characteristics of information transmission net⁃work density network centrality,network structure,regional path and emotional path.Finally,BA scale-free network model is used to simulate the evolution feature on information transmission network of university new media【. Result/conclusion】The new media infor⁃mation transmission network of colleges and universities has small clustering coefficient,short network average path.and the degree dis⁃tribution of nodes has the rule of power law exponent.The influence of university new media is surpassing the traditional regional influ⁃ence.The communication is dominated by positive emotions,and online public opinion events have a great impact on emotions.With the increase of nodes,the average degree of the network will stabilize around a certain value after rapid growth,and the average path length of the network has been showing an increasing trend.Finally,this paper puts forward suggestions to improve the structure of information transmission network of university new media【. Innovation/limitation】Further expansion of data sample and time span is needed in fu⁃ture research.