关键词: 社交媒体, 大数据, 用户行为, 交互关系, 交互内容

Abstract: Social media, which consists of a large number of meaningful information, is an important way for people to propagate information and express themselves. In recent years, it has become one of the most representative sources of big data. Mining and analyzing the information has profound impact on social development. According to the elements of social media, the current researches are divided into three categories, including analysis based on users, analysis based on relationships and analysis based on interactive contents. Firstly, analyzing user-centered data from user identification based multi-source heterogeneous network, community detection and user influence computing. Secondly, analyzing user relationship strength calculation, information diffusion and influence maximization issues based on interactive relationship-center. Thirdly, discussing feature extraction and selection, the topic or event mining, multimedia data analysis and sentiment analysis issues based on user interactive content analyzing interactive       content-centric. Finally, this paper elaborates challenges of mining big data of social media and points out the future work from information diffusion, influence computing, feature extraction and selection, news mining based on      Microblog, social media big data fusion and cross-lingual sentiment analysis 6 aspects.

Key words:  social media, big data, user behavior, interactive relationship, interactive content