Discount Allocation for Benefit Maximization in Social Networks

Influence Ranking Improvement via Link Addition in Social Networks

Social media platforms increasingly rely on influential users for information dissemination in domains such as marketing and political campaigns. As the value of being recognized as influential grows, users may have incentives to strategically enhance their influence. In this study, we investigate whether and to what e...

Efficient Algorithm for Opinion Optimization via Leader Selection in Directed Social Networks

We study an opinion optimization problem based on an extended DeGroot model for a social network, where stubborn leaders hold fixed opinions of 0 or 1. Given a set of leaders with opinion 0, our goal is to select a small number of leaders with opinion 1 from the remaining nodes to maximize the average opinion of the ne...

IEO-IM: influence maximization in social networks using improved equilibrium optimizer

Opinion Maximization in Social Networks: An Inverse Optimization Perspective

An inverse optimization perspective for OM is provided by reformulating it as an opinion minimization (OMin) problem, whose objective function holds succinct expression and desired properties and introduces a bounded estimation scheme (BES) that can estimate the objective function of OMin with bounded error in Õ(kn+m)...

Efficient and cost-effective influence and blocker minimization

Online social networks have emerged as prominent platforms for individuals to rapidly share ideas and perspectives. However, their swift dissemination capabilities also make them powerful channels for the spread of misinformation. Such dissemination results in substantial economic and societal harm, highlighting the ne...

Optimal and heuristic strategies for evaluating the influence of coordinated behavior in information cascades and retweet networks

Coordinated Inauthentic Behavior (CIB) has become a major concern in online social platforms, yet its actual impact on information diffusion remains poorly understood. Existing research has primarily focused on detecting coordinated activity, while comparatively little attention has been devoted to quantifying its infl...