Modeling of cross-disciplinary collaboration for potential field discovery and recommendation based on scholarly big data

Wei Liang, Xiaokang Zhou, Suzhen Huang, Chunhua Hu, Xuesong Xu, Qun Jin

Abstract: Highlights •A new method is proposed to recommend cross-disciplinary scientific collaboration.•An algorithm based on topic model is designed to extract potential research fields.•Collaboration patterns are examined by analyzing the research field correlations.•Evaluations based on a real dataset show the effectiveness of the proposed method.