Evidence map›Paper›PMID 34518372›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Cognitive maps of social features enable flexible inference in social networks.

Jae-Young Son, Apoorva Bhandari, Oriel FeldmanHall

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

33 citing papers in PubMed.

  1. Cognitive maps as a medium for thought.Trends in cognitive sciences · 2026
    Review
  2. Medial temporal lobe encodes cognitive maps of real-world social networks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
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  7. Perception of own centrality in social networks.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
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  12. Empowering safer socially sensitive autonomous vehicles using human-plausible cognitive encoding.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
  14. The Relative Contributions of Traits and Contexts on Social Network Learning.Open mind : discoveries in cognitive science · 2025
    Article
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  18. Review
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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

3 authors.

Jae-Young SonDepartment of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912.ORCID 0000-0002-3852-1237
Apoorva BhandariDepartment of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912.ORCID 0000-0001-5295-1623
Oriel FeldmanHallDepartment of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912; oriel.feldmanhall@brown.edu.ORCID 0000-0002-0726-3861

Funding

Mapping representational format across the human brainR21NS108380 · NINDS · BROWN UNIVERSITY · PI BADRE, DAVID · 2018 to 2019
$462k
NINDS NIH HHS R21 NS108380
6 · The paper itself

Abstract

In order to navigate a complex web of relationships, an individual must learn and represent the connections between people in a social network. However, the sheer size and complexity of the social world makes it impossible to acquire firsthand knowledge of all relations within a network, suggesting that people must make inferences about unobserved relationships to fill in the gaps. Across three studies (

Indexed as

Decision MakingModels, NeurologicalSocial BehaviorSocial NetworkingAdultCognitionFemaleFriendsGeneralization, PsychologicalHumansMaleYoung Adultcognitive mapsgeneralizationlearningrepresentationsocial networks

Identifiers

PMID34518372
PMCPMC8488581

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.