Information sharing behavior prediction of online social network users
在线社会网络用户的信息分享行为预测研究

Information transmission paths in online social networks (OSN) contain users' preferences as information content and source. This paper proposed a method based on the information paths to predict the information sharing behavior of OSN users. Firstly studied the transform method of the information transform process to information transform paths based on information filtrate ability of these paths. Then, used an association rules based classification algorithm to predict the information sharing behavior of users. It used an empirical research of Sina Weibo to test the prediction method. Results show that it works well when predict the information sharing behavior of active uses on OSNs.