English

BotVerse: Real-Time Event-Driven Simulation of Social Agents

Social and Information Networks 2026-04-01 v1 Artificial Intelligence Multiagent Systems

Abstract

BotVerse is a scalable, event-driven framework for high-fidelity social simulation using LLM-based agents. It addresses the ethical risks of studying autonomous agents on live networks by isolating interactions within a controlled environment while grounding them in real-time content streams from the Bluesky ecosystem. The system features an asynchronous orchestration API and a simulation engine that emulates human-like temporal patterns and cognitive memory. Through the Synthetic Social Observatory, researchers can deploy customizable personas and observe multimodal interactions at scale. We demonstrate BotVersevia a coordinated disinformation scenario, providing a safe, experimental framework for red-teaming and computational social scientists. A video demonstration of the framework is available at https://youtu.be/eZSzO5Jarqk.

Keywords

Cite

@article{arxiv.2603.29741,
  title  = {BotVerse: Real-Time Event-Driven Simulation of Social Agents},
  author = {Edoardo Allegrini and Edoardo Di Paolo and Angelo Spognardi and Marinella Petrocchi},
  journal= {arXiv preprint arXiv:2603.29741},
  year   = {2026}
}
R2 v1 2026-07-01T11:46:15.901Z