A Survey on Opinion Dynamics in Social Media Networks: Analysis, Simulation, and Control

The rapid proliferation of social networks has revolutionized communication and social interactions, rendering the study of opinion dynamics (OD) within these platforms an essential area of research. OD offers a powerful lens for understanding, simulating, and predicting behavioral patterns and interactions among individuals on social media networks. We conducted an advanced and comprehensive review examining the methodologies and tools used in this domain, focusing on agent-based modeling, network topology, dynamic modeling, and behavioral modeling within multiagent systems (MASs). Key challenges, such as computational complexity, data quality, and model validation, and potential strategies to overcome these limitations are discussed. The review also highlights critical trends and interdisciplinary opportunities, highlighting the integration of emerging technologies and the importance of ethical considerations in research. By studying advancements in simulation, analysis, and prediction in social media networks through OD, this work provides a comprehensive resource for researchers and practitioners to deepen their understanding and develop impactful applications in this field.