Evidence map›Paper›PMID 39110728›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Formation of human kinship structures depending on population size and cultural mutation rate.

Kenji Itao, Kunihiko Kaneko

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Self-organized institutions in evolutionary dynamical-systems games.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Kenji ItaoDepartment of Basic Science, Graduate School of Arts and Sciences, University of Tokyo, Meguro, Tokyo 153-8902, Japan.ORCID 0000-0002-2215-1120
Kunihiko KanekoThe Niels Bohr Institute, University of Copenhagen, Copenhagen 2100-DK, Denmark.ORCID 0000-0001-6400-8587

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) JP21J21565Ministry of Education, Culture, Sports, Science and Technology (MEXT) 20H00123Novo Nordisk Fonden (NNF) NNF21OC0065542
6 · The paper itself

Abstract

How does social complexity depend on population size and cultural transmission? Kinship structures in traditional societies provide a fundamental illustration, where cultural rules between clans determine people's marriage possibilities. Here, we propose a simple model of kinship interactions that considers kin and in-law cooperation and sexual rivalry. In this model, multiple societies compete. Societies consist of multiple families with different cultural traits and mating preferences. These values determine interactions and hence the growth rate of families and are transmitted to offspring with mutations. Through a multilevel evolutionary simulation, family traits and preferences are grouped into multiple clans with interclan mating preferences. It illustrates the emergence of kinship structures as the spontaneous formation of interdependent cultural associations. Emergent kinship structures are characterized by the cycle length of marriage exchange and the number of cycles in society. We numerically and analytically clarify their parameter dependence. The relative importance of cooperation versus rivalry determines whether attraction or repulsion exists between families. Different structures evolve as locally stable attractors. The probabilities of formation and collapse of complex structures depend on the number of families and the mutation rate, showing characteristic scaling relationships. It is now possible to explore macroscopic kinship structures based on microscopic interactions, together with their environmental dependence and the historical causality of their evolution. We propose the basic causal mechanism of the formation of typical human social structures by referring to ethnographic observations and concepts from statistical physics and multilevel evolution. Such interdisciplinary collaboration will unveil universal features in human societies.

Indexed as

MarriagePopulation DensityCultural EvolutionCultureFamilyFemaleHumansMaleModels, TheoreticalMutationMutation Ratecultural anthropologycultural evolutionkinship structurescaling relationshipstatistical physics

Identifiers

PMID39110728
PMCPMC11331076

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.