Abstract: 【Purpose/significance】From the perspective of user nodes and the overall network, the study makes recommendations to
scholars in virtual academic communities based on the user similarity and trust,which improves the quality of scholar recommenda-
tions【. Method/process】Firstly,LDA topic model is used to mine the blog topics published by scholars and calculate the similarity of
blog posts.The similarity degree of friends is calculated by the ratio of common friends of scholars.Then the similarity of the blog and
the similarity of the friends are combined to calculate the user similarity.Finally,we integrate user similarity and trust to implement
scholar recommendation【. Result/conclusion】This paper proposes a scholar recommendation method based on user similarity and trust in virtual academic community,which makes comprehensive use of user nodes and network global information to recommend scholars for users in virtual academic community【. Innovation/limitation】The fusion of scholars' information from two perspectives of user nodes and network overall improves the quality of scholars recommended in the virtual academic community.The limitation is that this paper mainly considers the trust degree of scholars in the whole network,and the mutual trust relationship between user nodes needs to be fur-ther studied.