[Objective] In order to help scholars quickly find suitable scientific research partners, promote scientific research output and enhance academic exchanges.

[Methods] Using LDA topic model, PageRank algorithm and social network analysis, this paper comprehensively and deeply excavates the four dimensional characteristics of scholars' natural attributes, interest attributes, ability attributes and social attributes to construct scholars' portraits，and recommend scientific research collaborators based on scholars' preferences.

[Results] Finally, 14007 documents, 13292 citation data and 11869 authors in the field of Library and information were obtained from CNKI and CSSCI to verify the model proposed in this paper. Finally, 20 potential scientific research collaborators with similar and complementary research interests were recommended to the target scholars..

[Limitations] This paper fails to solve the cold start problem well, and ignores the contribution of authors in different signing orders to the paper in terms of scholars' ability representation, and the selection of data in the empirical link is limited.

[Conclusion] This model can effectively recommend potential scientific research collaborators with high authority, high relevance, and high matching characteristics such as scientific research productivity and social relations to target scholars, and has good application value.