Social learning strategies modify the effect of network structure on group performance

Barkoczi, Daniel; Galesic, Mirta

doi:10.1038/ncomms13109

Cited by 132Language and cultural evolutionTeam Dynamics and PerformanceGame Theory and Applications

Social learning strategies modify the effect of network structure on group performance

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Barkoczi, Daniel, Galesic, Mirta·2016·Nature Communications

DOI 10.1038/ncomms13109PMC PMC5059778

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Abstract

The structure of communication networks is an important determinant of the capacity of teams, organizations and societies to solve policy, business and science problems. Yet, previous studies reached contradictory results about the relationship between network structure and performance, finding support for the superiority of both well-connected efficient and poorly connected inefficient network structures. Here we argue that understanding how communication networks affect group performance requires taking into consideration the social learning strategies of individual team members. We show that efficient networks outperform inefficient networks when individuals rely on conformity by copying the most frequent solution among their contacts. However, inefficient networks are superior when individuals follow the best member by copying the group member with the highest payoff. In addition, groups relying on conformity based on a small sample of others excel at complex tasks, while groups following the best member achieve greatest performance for simple tasks. Our findings reconcile contradictory results in the literature and have broad implications for the study of social learning across disciplines.

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Authors: Barkoczi, D., & Galesic, M.
Affiliations: Max Planck Institute for Human Development (DE)
Corresponding author: Barkoczi, Daniel
ORCID: Barkoczi, Daniel
Venue: Nature Communications
Publisher: Springer Science and Business Media LLC
Published: 2016-10-07
Volume: 7
Issue: 1
Pages: 13109-13109
ISSN: 2041-1723 (ISSN-L)
DOI: 10.1038/ncomms13109
PMC: PMC5059778
OpenAlex: W2409848655
Cited by: 131
References: 38
Citations by year: 2026: 11 · 2025: 12 · 2024: 10 · 2023: 23 · 2022: 16 · 2021: 12 · 2020: 17 · 2019: 12 · 2018: 12 · 2017: 6
FWCI: 102.31
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0 (tdm)
creativecommons.org/licenses/by/4.0 (vor)
Locations: Nature Communications (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
arXiv (Cornell University) (submittedVersion)
RePEc: Research Papers in Economics (submittedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Max Planck Digital Library (submittedVersion)
MPG.PuRe (Max Planck Society) (submittedVersion)
arXiv (Cornell University)
Funders: Santa Fe Institute
Topics: Social Sciences › Cultural Studies › Language and cultural evolution
Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
Social Sciences › Decision Sciences › Management Science and Operations Research › Game Theory and Applications
Keywords: social learning, communication network structure, group performance, conformity, copying behavior, task complexity, team decision-making
MeSH terms: Social Learning, Communication, Humans, Problem Solving, Social Behavior, Social Support, Social Networking

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