Machine Learning for Hybrid Social Information

Social computing, such as hybrid social information (HSI) processing, has acted as an important research domain in science and technology today. It has used in all aspects of society today, such as mobile education, mobile medical, smart community, etc. Today, there are more remaining issues are waiting for solving in this domain. For example, how to detect or recognize people behavior with conflict modals, how to detect community in social network with uncertain graph structure.. All such entire problems need our more attention to solve. Therefore, more effective thoughts and machine learning (ML) methods are needed to enhance theory and application of HSI processing. Moreover, the use of sophisticated and robust psychological and cognitive scientific methods are important in HSI processing, and emerging methods which can improve the efficiency of this domain are also encouraged in this issue .