Topic Analysis Model for Online Social Network

With the rapid development of social network platform and the widespread use of mobile terminals, the topic analysis technology based on data of social network gets more and more attention. Due to the characteristics as short length of data and the seriousness of content fragmentation, the topic analysis technology on social network has evolved into three main parts: information recovery, topic detection and topic evolution. Among them, information recovery is the basis of topic detection and topic evolution relies on topic detection. Based on the characteristics summary of related works of the three parts, a generalized model of topic analysis on social networks is proposed with the consideration of factors such as community, influence and user. It expounds the inner process of topic analysis technology and is an effective summary of topic analysis technology on social networks.