Oct 2026· Journal of Supercomputing· Vol 82· 0 citations· 38 references
TL;DR
This method extends the Equilibrium Optimizer through a sequence of progressively refined strategies that progressively improves search guidance, population diversity, and adaptive refinement, and shows competitive computational performance on the evaluated networks, including the large-scale YouTube network.
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...
N. Di Marco, Matteo Cinelli, Shinichi Nakano et al.· 0 citations
Information diffusion can be controlled by restricting or removing links (edges) in online social networks, as well as in real-world networks. To identify the most influential links to remove while minimizing diffusion, previous studies have proposed upper bounds for spreading processes in SIR and SIS models, using sup...
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...
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...
Xin-Na Zhou, Zhong-Zhi Zhang· IEEE Transactions on Network...· 0 citations
With the emergence of online social networks as a primary platform for advertising and advocacy, enhancing a user's influence has become of significant interest. In this paper, we investigate this problem under the Friedkin Johnsen opinion dynamics model, wherein stubborn agents influence the opinions of other agents i...
Aashi Shrinate, Aravind Seshadri, Twinkle Tripathy et al.· 0 citations
How do recommendation algorithms contribute to the formation of polarized opinions in online social networks? This question has been studied through empirical analyses of real platforms and mathematical models of opinion dynamics. Empirical studies capture user behavior but are often limited by noisy, incomplete, or in...
Ali Safarpoor Dehkordi, Mohammad Shirzadi, Mehwish Nasim et al.· 0 citations
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