Link prediction finds missing links (in static networks) or predicts the likelihood of future links
(in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; …

The influence maximization (IM) problem identifies the subset of influential users in the
network to provide solutions for real-world problems like outbreak detection, viral marketing …

Online social networks play an essential role in propagating information, innovation, and
ideas via word-of-mouth spreading. This word-of-mouth phenomenon leads to a …

Targeted immunization is a commonly used strategy in preventing epidemic spreading.
Traditional methods immunize targeted nodes based on specific global or local network …

Due to the explosive rise of online social networks, social network analysis (SNA) has
emerged as a significant academic field in recent years. Understanding and examining …

Influence maximization (IM) is the fundamental study of social network analysis. The IM
problem finds the top k nodes that have maximum influence in the network. Most of the …

Community detection in social networks is an important field of research in data mining and
has an abundant literature. Time varying social networks require algorithms that can comply …

In recent years, most link prediction algorithms have focused on node similarity owing to the
associated low computational complexity and promising accuracy. In addition to the …

Word-of-Mouth promotion is among the effective methods of marketing and is highly
regarded by many commercial companies. This type of marketing is mapped on the …

There has been a great stream of literature in studying the dynamics of information diffusion
processes attached on networked systems. And the corresponding influential seeds …