Recently, information transmission models motivated by the classical epidemic propagation,
have been applied to a wide-range of social systems, generally assume that information …

Predicting the popularity of web contents in online social networks is essential for many
applications. However, existing works are usually under non-incremental settings. In other …

The continuous-time adaptive susceptible-infected-susceptible (ASIS) epidemic model and
the adaptive information diffusion (AID) model are two adaptive spreading processes on …

The spread of information has attracted significant research interest. In news forums,
subjects are components of the topics in the news events. They are considered important …

CANDECOMP/PARAFAC (CP) decomposition is widely used in various online social
network (OSN) applications. However, it is inefficient when dealing with massive and …

Human activity plays a central role in understanding large-scale social dynamics. It is well
documented that individual activity pattern follows bursty dynamics characterized by heavy …

Critical to information diffusion, influential news agencies can publicize emergencies on
social media platforms, not only helping to guide public opinion and enhance the public's …

This paper presents the concept of kernels to address the complexity of solving big-data
applications. Their solution strategies often require evaluating domain-dependent …

Recently, there is a growing interest in the modeling and simulation based on real social
networks among researchers in multi-disciplines. Using an empirical social network …