# Inferring the internal structure of groups through the integration of statistical learning and causal reasoning

**Authors:** Isaac Davis, Julian Jara-Ettinger, Yarrow Dunham

PMC · DOI: 10.1038/s41467-026-68754-0 · Nature Communications · 2026-01-23

## TL;DR

People can infer complex social structures from limited observations by combining statistical learning and causal reasoning.

## Contribution

The paper introduces a novel framework where statistical learning and causal models are integrated to explain social structure inference.

## Key findings

- Participants can infer social structures from brief, abstract videos of interactions.
- A computational model captures these judgments better than simpler cue-based accounts.
- Statistical learning and causal reasoning work together to support social understanding.

## Abstract

Human social life unfolds within richly structured networks of overlapping relationships, including friendships, hierarchies, and collaborations. Yet the observable interactions that reveal these networks are often sparse and noisy, making it unclear how people could infer the latent structure of their social environments from such limited evidence. We propose that humans integrate domain-general statistical learning with domain-specific models of social structures to rapidly construct causal representations that support explanation, prediction, and planning. Across three behavioral experiments, we show that participants can infer underlying social structures (Experiment 1), predict social behavior (Experiment 2), and reason about the spread of social influence (Experiment 3), based on brief, abstract videos of social interactions. These judgments were closely captured by a computational model grounded in our account and could not be explained by simpler cue-based accounts. Statistical learning and causal reasoning operate in concert to support rapid, flexible understanding of social structures.

People can make rich inferences about social structure from sparse and noisy observations of social interaction. Here, the authors show that this capacity relies on the integration of statistical learning with causal models of social structure.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12929721/full.md

## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12929721/full.md

## References

13 references — full list in the complete paper: https://tomesphere.com/paper/PMC12929721/full.md

---
Source: https://tomesphere.com/paper/PMC12929721