Evidence map›Paper›PMID 18522913›Full record

ArticleProceedings. Biological sciences2008

Kin in space: social viscosity in a spatially and genetically substructured network.

Jochen B W Wolf, Fritz Trillmich

Open access · greenAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
17.4field-weighted citation impact, top 1% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 77 citations in OpenAlex.

  1. Non-breeding social behaviour as an investment in reducing future territoriality costs.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  2. Article
  3. Article
  4. A Camera-Trap Home-Range Analysis of the Indian Leopard (Animals : an open access journal from MDPI · 2020
    Article
  5. Article
  6. Split between two worlds: automated sensing reveals links between above- and belowground social networks in a free-living mammal.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Article
  7. Article
  8. Article
  9. Chemical fingerprints reveal clues to identity, heterozygosity, and relatedness.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  10. Article
  11. Article
  12. Article
  13. Networks and the ecology of parasite transmission: A framework for wildlife parasitology.International journal for parasitology. Parasites and wildlife · 2013
    Review
  14. Sexual networks: measuring sexual selection in structured, polyandrous populations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2013
    Article
  15. Article
  16. Article
  17. Wherever I may roam: social viscosity and kin affiliation in a wild population despite natal dispersal.Behavioral ecology : official journal of the International Society for Behavioral Ecology
    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 at 1 institution in 1 country.

Jochen B W WolfInstitute for Genetics, Evolutionary Genetics, University of Köln, Zülpicherstrasse 47, 50674 Köln, Germany. jochen.wolf@uni-bielefeld.de
Fritz Trillmich
Bielefeld University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population substructuring is a fundamental aspect of animal societies. A growing number of theoretical studies recognize that who-meets-whom is not random, but rather determined by spatial relationships or illustrated by social networks. Structural properties of large highly dynamic social systems are notoriously difficult to unravel. Network approaches provide powerful ways to analyse the intricate relationships between social behaviour, dispersal strategies and genetic structure. Applying network analytical tools to a colony of the highly gregarious Galápagos sea lion (Zalophus wollebaeki), we find several genetic clusters that correspond to spatially determined 'network communities'. Overall relatedness was low, and genetic structure in the network can be interpreted as an emergent property of philopatry and seems not to be primarily driven by targeted interactions among highly related individuals in family groups. Nevertheless, social relationships between directly adjacent individuals in the network were stronger among genetically more similar individuals. Taken together, these results suggest that even small differences in the degree of relatedness can influence behavioural decisions. This raises the fascinating prospect that kin selection may also apply to low levels of relatedness within densely packed animal groups where less obvious co-operative interactions such as increased tolerance and stress reduction are important.

Indexed as

Behavior, AnimalSocial BehaviorAnimalsFemalePopulation DensityPopulation DynamicsSea Lions

Identifiers

PMID18522913
PMCPMC2603206
OpenAlexW2103970005

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.