Complementary to the fancy applications of social networks, influence analysis is an
indispensable technique supporting these practical applications. In recent years, this …

Background Digital technologies are increasingly integrating into people's daily living
environments such as schools, sport clubs, and health care facilities. These settings play a …

Social influence analysis has become one of the most important technologies in modern
information and service industries. Thus, how to measure social influence of one user on …

The remarkable development of deep learning in medicine and healthcare domain presents
obvious privacy issues, when deep neural networks are built on users' personal and highly …

Social networks are critical in terms of information or malware propagation. However, how to
contain the spreading of malware in social networks is still an open and challenging issue …

Abstract Information diffusion is an important and attractive field of research in the area of
social network analysis, and is at the heart of many studies and applications of knowledge …

Influence cascades are typically analyzed using a single metric approach, ie, all influence is
measured using one number. However, social influence is not monolithic; different users …

Most of the existing influence maximization problem in social networks only focus on single
relationship social networks, that is, there is only one relationship in social networks …

The contents generated from different data sources are usually non-uniform, such as long
texts produced by news websites and short texts produced by social media. Uncovering …

User behavior clustering analysis has a wide range of applications in business intelligence,
information retrieval, and image pattern recognition and fault diagnosis. Most of existing …