The growing popularity of social networks is providing a promising opportunity for different
practical applications. The influence analysis is an essential technique supporting the …

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

The online social network has become an integral part of our day to life and serves as an
excellent platform for sharing ideas, opinions, and products. Influence maximization (IM) is a …

The problem of influence maximization is a classic issue that has been well-studied in the
field of network science, but most of existing researches are compromising among …

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 …

Given a social network of users with non-uniform selection cost, and a fixed budget, which
nodes should be chosen for initial activation to maximize the influence in the network, such …

The influence maximization problem has gained increasing attention in recent years.
Previous research focuses on the development of algorithms to analyze static social …

Influence maximization is a fundamental problem that aims at finding a small subset of seed
nodes to maximize the spread of influence in social networks. Influence maximization …

Influence maximization is a fundamental research problem in social networks. Viral
marketing, one of its applications, is to get a small number of users to adopt a product, which …

Given the popularity of the viral marketing campaign in online social networks, finding a
computationally efficient method to identify a set of most influential nodes so as to compete …