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Impact of mindset types and social community compositions on opinion dynamics: A large language model-based multi-agent simulation study
Jan. 2026 Guozhu Ding, Zuer Liu, Shan Li , Jie Cao, Zhuohai Ye Highlights We examined opinion dynamics using LLM-based multi-agent simulation. Opinion shifts were examined across diverse simulated social community compositions. Negative mindsets show greater perspective change when influenced by others. Positive viewpoints more effective in causing opinion shifts than neutral ones. Dominant mindset in a community shapes the public opinion environment. Abstract This study exam


An Agent‑Based Simulation of Politicized Topics Using Large Language Models: Algorithmic Personalization and Polarization on Social Media
Jan. 2026 Ljubiša Bojić , Velibor Ilić , Veljko Prodanović Vuk Vuković Digital platforms now act as the primary environments for public discourse, where recommender systems shape visibility, emotion, and interpretation. This study introduces the Recommender Systems LLMs Playground (RecSysLLMsP), a simulation framework designed to examine how algorithmic personalization interacts with language generation to influence engagement and polarization. The research provides a rep


Epihiper—A high performance computational modeling framework to support epidemic science
Jan. 2026 Jiangzhuo Chen Stefan Hoops Henning S Mortveit Bryan L Lewis Dustin Machi Parantapa Bhattacharya Srinivasan Venkatramanan Mandy L Wilson Chris L Barrett Madhav V Marathe This paper describes Epihiper, a state-of-the-art, high performance computational modeling framework for epidemic science. The Epihiper modeling framework supports custom disease models, and can simulate epidemics over dynamic, large-scale networks while supporting modulation of the epidemic evoluti


NEUROPHYSIOLOGICAL STUDY OF CONSUMER EMOTIONAL REACTIONS IN A SIMULATED MULTISENSORY RETAIL ENVIRONMENT
Nov. 2025 Julia Eremenko Vladimir Kosonogov Vladislav Aksiotis Victoria Moiseeva Anastasia Obukhova Alisa Godovanets Oksana Zinchenko Vasily Klucharev Anna Shestakova Introduction: Emotions play a crucial role in shaping consumer experiences and decisions. Neurophysiological tools offer objective markers of emotional reactions in multisensory environments, where positive valence promotes approach behavior and negative valence fosters avoidance. Methods: We applied the Osgoo


IMPACT OF EXCESSIVE SOCIAL MEDIA USE ON ADOLESCENT DEPRESSION AND ITS CONSEQUENCES IN FRANCE: AN INDIVIDUAL-BASED MICROSIMULATION MODEL
Nov. 2025 Abstract Background: Social media (SM) platforms have become increasingly prevalent in adolescents' lives, and concerns have arisen regarding their potential contribution to depression. This study examined whether excessive SM use contributes to rising adolescent depression rates and evaluated potential mitigation strategies. Methods and findings: We developed an individual-based microsimulation model of 18.6 million French adolescents born 1990-2012, tracking depre
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