Abstract:

Analyzing users’ behaviors is one of the important topics about web social analysis. It includes modeling the behavior and preferences of individuals and groups. For predicting the trends of information diffusion in web social networks, with Microblog for the platform, varies of factors to let the users make decisions are extracted, the relationships between these factors and information processing are analyzed and some potential preferences are mined basing on the statistics analysis of users' history behavior information by the researchers. Therefore, the users' preference model is established by CPnets, which could represent the preferences among all the attributes，and according to its induced graph the best combination of features will be selected to measure the possibility of forwarding a topic by one person.

Key words: social networks analysis;preferences modeling;microblog;make decisions