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Author/Affiliation: Rastko SelmicOpen AccessArticle
8 Pages, 6,367 KB 
Modeling Control Agents in Social Media Networks Using Reinforcement Learning
Abstract:
Designing efficient control strategies for opinion dynamics is a challenging task. Understanding how individuals change their opinions in social networks is essential to countering malicious actors and fake news and mitigating their effect on the network. In many applications such as marketing design, product launches, etc., corporations often post curated news or feeds on social…
Read More(This article belongs to the SP15 (Special Issue on Innovation in Computing, Engineering Science & Technology 2023) & Section Interdisciplinary Applications of Computer Science (CSI))