mlsanityData to 7 Oct 2026

Simulating Influence Dynamics with LLM Agents

arXiv 2503.08709 ↗First posted 10 Mar 2025cs.SI cs.AIcited by 4

On the map: LLM agents and tool use → Social simulation and multi-agent debate

Abstract (arXiv)

This paper introduces a simulator designed for opinion dynamics researchers to model competing influences within social networks in the presence of LLM-based agents. By integrating established opinion dynamics principles with state-of-the-art LLMs, this tool enables the study of influence propagation and counter-misinformation strategies. The simulator is particularly valuable for researchers in social science, psychology, and operations research, allowing them to analyse societal phenomena without requiring extensive coding expertise. Additionally, the simulator will be openly available on GitHub, ensuring accessibility and adaptability for those who wish to extend its capabilities for their own research.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 9 of its 32 references that are in the map. First posted on arXiv 10 Mar 2025.

Builds on

9 of 32 references.

Closest ancestors · 3

Same direction, newest first

  1. 2024GenSim: A General Social Simulation Platform with Large Language Model based Agents6 Oct
  2. 2023Do LLM Agents Exhibit Social Behavior?23 Dec
  3. 2023LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay23 Oct

Other references · 6

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
  3. 2023ExpeL: LLM Agents Are Experiential Learnerscited by 814
  4. 2022Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studiescited by 506
  5. 2024Network Formation and Dynamics Among Multi-LLMscited by 28
  6. 2024How Susceptible are Large Language Models to Ideological Manipulation?cited by 26

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 2.

4 papers.

  1. 2025Spiral of Silence in Large Language Model Agentscited by 3
  2. 2025Agent-based simulation of online social networks and disinformationcited by 3
  3. 2026ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profilescited by 0
  4. 2026Should LLM Agents Decide in Social Simulations? Comparing Finite-State and LLM-Based Decision Policiescited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2023Simulating Opinion Dynamics with Networks of LLM-based Agents
  2. 2025Towards Simulating Social Influence Dynamics with LLM-based Multi-agents
  3. 2024Social Opinions Prediction Utilizes Fusing Dynamics Equation with LLM-based Agents
  4. 2024Agent-Based Modelling Meets Generative AI in Social Network Simulations
  5. 2024Synthetic Social Media Influence Experimentation via an Agentic Reinforcement Learning Large Language Model Bot
  6. 2025DEBATE: A Large-Scale Benchmark for Evaluating Opinion Dynamics in Role-Playing LLM Agents
  7. 2026ElecTwit: A Framework for Studying Persuasion in Multi-Agent Social Systems
  8. 2026Do LLM-Driven Agents Exhibit Engagement Mechanisms? Controlled Tests of Information Load, Descriptive Norms, and Popularity Cues