document: Learning information diffusion process on the web Many text documents on the Web are not originally created but forwarded or copied from other source documents . The phenomenon of document forwarding or transmission between various web sites is denoted as Web information diffusion . This paper focuses on mining information diffusion processes for specific topics on the Web . A novel system called LIDPW is proposed to address this problem using matching learning techniques . The source site and source document of each document are identified and the diffusion process composed of a sequence of diffusion relationships is visually presented to users . The effectiveness of LIDPW is validated on a real data set . A preliminary user study is performed and the results show that LIDPW does benefit users to monitor the information diffusion process of a specific topic , and aid them to discover the diffusion start and diffusion center of the topic .
doc_bio_tags: O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O