Collective semantic behavior extraction in social networks

摘要

As a media for sharing knowledge, forming communities with similar hobbies and interacting with friends, social networks are booming dramatically recently. The study on collective behaviors in social networks is a key to analyze community dynamics and network functionalities. Hence, it is significant and necessary to accurately extract and analyze these collective behaviors. At present, the semantic behaviors of any individual in semantic social networks can be extracted conveniently. However, how to automatically extract collective semantic behaviors, to a large scale, in social networks is still an open question.