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

This research proposes a new type of Grey Wolf optimizer named Gradient-based Grey Wolf
Optimizer (GGWO). Using gradient information, we accelerated the convergence of the …

Influence maximization (IM) is the process of choosing a set of seeds from a social network
so that the most individuals will be influenced by them. Calculating the social effect of a …

A challenging issue in viral marketing is to effectively identify a set of influential users. By
sending the advertising messages to this set, one can reach out the largest area of the …

Abstract World Health Organization (WHO) stated COVID-19 as a pandemic in March 2020.
Since then, 26,795,847 cases have been reported worldwide, and 878,963 lost their lives …

Influence maximization problem aims to select a subset of k most influential nodes from a
given network such that the spread of influence triggered by the seed set will be maximum …

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 …

The impact of online social networking on daily life is extending beyond personal
boundaries, becoming a tool for financial activities and even public well-being. Interactions …

The different communications of users in social networks play a key role in effect to each
other. The effect is important when they can achieve their goals through different …

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 …