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

Over the recent decade, much research has been conducted in the field of social networks.
The structure of these networks has been irregular, complex, and dynamic, and certain …

Influence maximization in a social network refers to the selection of node sets that support
the fastest and broadest propagation of information under a chosen transmission model. The …

This research aims to illustrate the potential use of concepts, techniques, and mining
process tools to improve the systematic review process. Thus, a review was performed on …

The metaheuristic algorithms do not depend on the functional form when solving the
optimization problem. They have strong adaptability and are widely used in many fields …

Influence maximization (IM) in complex networks tries to activate a small subset of seed
nodes that could maximize the propagation of influence. The studies on IM have attracted …

Identifying influential spreaders in a complex network has practical and theoretical
significance. In applications such as disease spreading, virus infection in computer …

The influence maximization problem (IMP) is one of the most important topics in social
network analysis. It consists of finding the smallest seed of users that maximizes the …

Marketers have an important asset if they effectively target social networks' influentials. They
can advertise products or services with free items or discounts to spread positive opinions to …

Recently, more and more real life problems are solved using artificial intelligence (AI)
algorithms. One of the biggest challenges when working with AI is the selection and tuning …