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

With the prosperity of social networks, the research of influence maximization has become
growing importance and captured increasing attention from various disciplines. The key …

Intelligent Internet of Things (IIoT) is comprised of various wireless and wired networks for
industrial applications, which makes it complex and heterogeneous. The openness of IIoT …

Influence maximization (IM) is a widely investigated issue in the study of social networks
because of its potential commercial and social value. The purpose of IM is to identify a group …

Abstract The Influence Maximization (IM) problem aims to identify a small subset of nodes
that have the most influence spread in a network. Although it is an NP-hard problem, the …

This study focuses on the fixed-time leader-following consensus problem for a class of multi-
agent system with multi-dimensional nonlinear dynamics. First, the distributed static fixed …

This article considers the distributed bipartite adaptive event-triggered fault-tolerant
consensus tracking issue for linear multiagent systems in the presence of actuator faults …

The problem of influence maximization in social networks has been widely investigated, but
most previous studies have usually ignored the dynamic nature of propagation and the …

This study investigates the adaptive bipartite event-triggered time-varying output formation
tracking for heterogeneous linear multi-agent systems (MASs) under signed directed …