Study on research field diffusion based on author publication track record
基于研究者发文序列的研究领域扩散

With the development of digital library technology, many digital literatures have come into being. It is very important to mine these sources for providing convenience for the user, and it is paramount to analyze these texts to help user understand topic evolution and development. Dynamic Bayesian network model was used to investigate the research field diffusion, and experiments on real data sets indicate that the proposed method can help researchers get a better insight into research field diffusion for various research fields.