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 …

Influence Maximization is an important problem in social networks, and its main goal is to
select some most influential initial nodes (ie, seed nodes) to obtain the maximal influence …

This study addressed the output regulation issue of linear heterogeneous multi-agent
systems under switching topology. All agents excluding the external system are divided into …

Opinion maximization is a kind of optimization method, which leverages a subset of
influential nodes in social networks to spread user opinions towards the target product and …

The influence maximization problem is aimed at determining influential nodes as seeds to
reach the maximal influential range. Considering the wide application in marketing and …

The goal of influence maximization (IM) is to find a set of nodes that maximize their influence
spread over a social network. IM is a widely used model for information propagation in social …

Opinion maximization in social networks is an optimization problem, which targets at
determining some influential individuals (ie, seed nodes), propagating the desired opinion to …

Inspired by the psychological phenomenon that agents generally adopt different opinions or
action-update mechanisms when faced with different types of neighbors, we propose a …

Influence maximization in a social network focuses on the task of extracting a small set of
nodes from a network which can maximize the propagation in a cascade model. Though …