Social Influence and the Collective Dynamics of Opinion Formation
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Abstract (arXiv)
Social influence is the process by which individuals adapt their opinion, revise their beliefs, or change their behavior as a result of social interactions with other people. In our strongly interconnected society, social influence plays a prominent role in many self-organized phenomena such as herding in cultural markets, the spread of ideas and innovations, and the amplification of fears during epidemics. Yet, the mechanisms of opinion formation remain poorly understood, and existing physics-based models lack systematic empirical validation. Here, we report two controlled experiments showing how participants answering factual questions revise their initial judgments after being exposed to the opinion and confidence level of others. Based on the observation of 59 experimental subjects exposed to peer-opinion for 15 different items, we draw an influence map that describes the strength of peer influence during interactions. A simple process model derived from our observations demonstrates how opinions in a group of interacting people can converge or split over repeated interactions. In particular, we identify two major attractors of opinion: (i) the expert effect, induced by the presence of a highly confident individual in the group, and (ii) the majority effect, caused by the presence of a critical mass of laypeople sharing similar opinions. Additional simulations reveal the existence of a tipping point at which one attractor will dominate over the other, driving collective opinion in a given direction. These findings have implications for understanding the mechanisms of public opinion formation and managing conflicting situations in which self-confident and better informed minorities challenge the views of a large uninformed majority.
Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Nov 2013.
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Citing papers per year: 2021: 2; 2022: 3; 2023: 0; 2024: 3; 2025: 3; 2026: 5.
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- 2022Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studiescited by 506
- 2024CultureLLM: Incorporating Cultural Differences into Large Language Modelscited by 49
- 2021Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approachescited by 30
- 2024Conformity in Large Language Modelscited by 30
- 2022Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformerscited by 18
- 2025Herd Behavior: Investigating Peer Influence in LLM-based Multi-Agent Systemscited by 15
- 2021VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Treescited by 8
- 2022Predicting Opinion Dynamics via Sociologically-Informed Neural Networkscited by 5
- 2025Emergent Convergence in Multi-Agent LLM Annotationcited by 2
- 2025Can Large Language Models Predict Associations Among Human Attitudes?cited by 1
- 2024A Generalisation of Voter Model: Influential Nodes and Convergence Propertiescited by 0
- 2026Frugal Knowledge Graph Construction with Local LLMs: A Zero-Shot Pipeline, Self-Consistency and Wisdom of Artificial Crowdscited by 0
4 more
- 2026Collective Opinion Dynamics in Structured LLM Populationscited by 0
- 2026Belief Coevolution in a Social Network of Generalist and Specialist Large Language Modelscited by 0
- 2026From Survey Personas to LLM Agents: A Generative Agent-based Simulation of Mobility Policy Preference Dynamicscited by 0
- 2026AI Agents are Vulnerable to Radicalizationcited by 0
- 2026AI Agents are Vulnerable to Radicalization29 Sep 2026
- 2026Belief Coevolution in a Social Network of Generalist and Specialist Large Language Models29 Jul 2026
- 2026From Survey Personas to LLM Agents: A Generative Agent-based Simulation of Mobility Policy Preference Dynamics4 Jul 2026
- 2026Collective Opinion Dynamics in Structured LLM Populations13 Apr 2026
- 2026Frugal Knowledge Graph Construction with Local LLMs: A Zero-Shot Pipeline, Self-Consistency and Wisdom of Artificial Crowds13 Apr 2026
- 2025Emergent Convergence in Multi-Agent LLM Annotation17 Nov 2025
- 2025Herd Behavior: Investigating Peer Influence in LLM-based Multi-Agent Systems27 May 2025
- 2025Can Large Language Models Predict Associations Among Human Attitudes?26 Mar 2025
- 2024A Generalisation of Voter Model: Influential Nodes and Convergence Properties7 Nov 2024
- 2024Conformity in Large Language Models16 Oct 2024
- 2024CultureLLM: Incorporating Cultural Differences into Large Language Models9 Feb 2024
- 2022Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies18 Aug 2022
4 more
- 2022Predicting Opinion Dynamics via Sociologically-Informed Neural Networks7 Jul 2022
- 2022Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers10 Jun 2022
- 2021VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees1 Dec 2021
- 2021Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches11 Nov 2021
- 2025Herd Behavior: Investigating Peer Influence in LLM-based Multi-Agent Systemscited by 15
- 2025Emergent Convergence in Multi-Agent LLM Annotationcited by 2
- 2026Belief Coevolution in a Social Network of Generalist and Specialist Large Language Modelscited by 0
- 2026From Survey Personas to LLM Agents: A Generative Agent-based Simulation of Mobility Policy Preference Dynamicscited by 0
- 2026AI Agents are Vulnerable to Radicalizationcited by 0
- 2026AI Agents are Vulnerable to Radicalization29 Sep 2026
- 2026Belief Coevolution in a Social Network of Generalist and Specialist Large Language Models29 Jul 2026
- 2026From Survey Personas to LLM Agents: A Generative Agent-based Simulation of Mobility Policy Preference Dynamics4 Jul 2026
- 2025Emergent Convergence in Multi-Agent LLM Annotation17 Nov 2025
- 2025Herd Behavior: Investigating Peer Influence in LLM-based Multi-Agent Systems27 May 2025
- 2022Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studiescited by 506
- 2024CultureLLM: Incorporating Cultural Differences into Large Language Modelscited by 49
- 2021Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approachescited by 30
- 2024Conformity in Large Language Modelscited by 30
- 2022Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformerscited by 18
- 2021VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Treescited by 8
- 2022Predicting Opinion Dynamics via Sociologically-Informed Neural Networkscited by 5
- 2025Can Large Language Models Predict Associations Among Human Attitudes?cited by 1
- 2024A Generalisation of Voter Model: Influential Nodes and Convergence Propertiescited by 0
- 2026Collective Opinion Dynamics in Structured LLM Populationscited by 0
- 2026Collective Opinion Dynamics in Structured LLM Populations13 Apr 2026
- 2025Can Large Language Models Predict Associations Among Human Attitudes?26 Mar 2025
- 2024A Generalisation of Voter Model: Influential Nodes and Convergence Properties7 Nov 2024
- 2024Conformity in Large Language Models16 Oct 2024
- 2024CultureLLM: Incorporating Cultural Differences into Large Language Models9 Feb 2024
- 2022Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies18 Aug 2022
- 2022Predicting Opinion Dynamics via Sociologically-Informed Neural Networks7 Jul 2022
- 2022Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers10 Jun 2022
- 2021VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees1 Dec 2021
- 2021Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches11 Nov 2021