The structure and function of antagonistic ties in village social networks.


Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
25 Jun 2024
Historique:
medline: 18 6 2024
pubmed: 18 6 2024
entrez: 18 6 2024
Statut: ppublish

Résumé

Negative or antagonistic relationships are common in human social networks, but they are less often studied than positive or friendly relationships. The existence of a capacity to have and to track antagonistic ties raises the possibility that they may serve a useful function in human groups. Here, we analyze empirical data gathered from 24,770 and 22,513 individuals in 176 rural villages in Honduras in two survey waves 2.5 y apart in order to evaluate the possible relevance of antagonistic relationships for broader network phenomena. We find that the small-world effect is more significant in a positive world with negative ties compared to an otherwise similar hypothetical positive world without them. Additionally, we observe that nodes with more negative ties tend to be located near network bridges, with lower clustering coefficients, higher betweenness centralities, and shorter average distances to other nodes in the network. Positive connections tend to have a more localized distribution, while negative connections are more globally dispersed within the networks. Analysis of the possible impact of such negative ties on dynamic processes reveals that, remarkably, negative connections can facilitate the dissemination of information (including novel information experimentally introduced into these villages) to the same degree as positive connections, and that they can also play a role in mitigating idea polarization within village networks. Antagonistic ties hold considerable importance in shaping the structure and function of social networks.

Identifiants

pubmed: 38889155
doi: 10.1073/pnas.2401257121
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2401257121

Subventions

Organisme : National Science Foundation (NSF)
ID : 2030859
Organisme : NOMIS Foundation
ID : NA
Organisme : HHS | NIH | National Institute on Aging (NIA)
ID : R01AG062668
Organisme : Bill and Melinda Gates Foundation (GF)
ID : NA

Déclaration de conflit d'intérêts

Competing interests statement:The authors declare no competing interest.

Auteurs

Amir Ghasemian (A)

Yale Institute for Network Science, Yale University, 06511 New Haven, CT.

Nicholas A Christakis (NA)

Yale Institute for Network Science, Yale University, 06511 New Haven, CT.

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Classifications MeSH