Social network analysis for social neuroscientists.
network analysis
social networks
social neuroscience
Journal
Social cognitive and affective neuroscience
ISSN: 1749-5024
Titre abrégé: Soc Cogn Affect Neurosci
Pays: England
ID NLM: 101288795
Informations de publication
Date de publication:
05 08 2021
05 08 2021
Historique:
received:
26
09
2019
revised:
11
02
2020
accepted:
11
05
2020
pubmed:
18
5
2020
medline:
21
10
2021
entrez:
17
5
2020
Statut:
ppublish
Résumé
Although social neuroscience is concerned with understanding how the brain interacts with its social environment, prevailing research in the field has primarily considered the human brain in isolation, deprived of its rich social context. Emerging work in social neuroscience that leverages tools from network analysis has begun to advance knowledge of how the human brain influences and is influenced by the structures of its social environment. In this paper, we provide an overview of key theory and methods in network analysis (especially for social systems) as an introduction for social neuroscientists who are interested in relating individual cognition to the structures of an individual's social environments. We also highlight some exciting new work as examples of how to productively use these tools to investigate questions of relevance to social neuroscientists. We include tutorials to help with practical implementations of the concepts that we discuss. We conclude by highlighting a broad range of exciting research opportunities for social neuroscientists who are interested in using network analysis to study social systems.
Identifiants
pubmed: 32415969
pii: 5838123
doi: 10.1093/scan/nsaa069
pmc: PMC8343567
doi:
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
883-901Informations de copyright
© The Author(s) 2020. Published by Oxford University Press.
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