Social network analysis for social neuroscientists

Author:

Baek Elisa C1,Porter Mason A2,Parkinson Carolyn13

Affiliation:

1. Department of Psychology, University of California, Los Angeles, CA 90095, USA

2. Department of Mathematics, University of California, Los Angeles, CA 90095, USA

3. Brain Research Institute, University of California, Los Angeles, CA 90095, USA

Abstract

Abstract 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.

Funder

National Science Foundation SBE Postdoctoral Research Fellowship

National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Cognitive Neuroscience,Experimental and Cognitive Psychology,General Medicine

Reference109 articles.

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