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20232026
most citedHow malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare

23 citations · 28 across the 9 of their papers we have counts for

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5 papers · 1 filter

physics.soc-ph2026

Conformity Generates Collective Misalignment in AI Agents Societies

Giordano De Marzo, Alessandro Bellina, Claudio Castellano +2

Artificial intelligence safety research focuses on aligning individual language models with human values, yet deployed AI systems increasingly operate as interacting populations wh…

physics.soc-ph2026

Collective Behavior of AI Agents: the Case of Moltbook

Giordano De Marzo, David Garcia, Andres L. Marin

We present a large scale data analysis of Moltbook, a Reddit-style social media platform exclusively populated by AI agents. Analyzing over 4 million posts and 19 million comments…

physics.soc-ph2025

Opinion dynamics: Statistical physics and beyond

Michele Starnini, Fabian Baumann, Tobias Galla +5

Opinion dynamics, the study of how individual beliefs and collective public opinion evolve, is a fertile domain for applying statistical physics to complex social phenomena. Like p…

physics.soc-ph2024★ 1 cited

AI agents can coordinate beyond human scale

Giordano De Marzo, Claudio Castellano, David Garcia

Large language models (LLMs) are increasingly deployed in collaborative tasks involving multiple agents, forming an "AI agent society: where agents interact and influence one anoth…

physics.soc-ph2023★ 4 cited

Emergence of Scale-Free Networks in Social Interactions among Large Language Models

Giordano De Marzo, Luciano Pietronero, David Garcia

Scale-free networks are one of the most famous examples of emergent behavior and are ubiquitous in social systems, especially online social media in which users can follow each oth…