Department of Psychology, University of California, Los Angeles, CA 90095, USA.
Department of Mathematics, University of California, Los Angeles, CA 90095, USA.
Soc Cogn Affect Neurosci. 2021 Aug 5;16(8):883-901. doi: 10.1093/scan/nsaa069.
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.
虽然社会神经科学关注的是理解大脑如何与社会环境相互作用，但该领域的主流研究主要是孤立地考虑人类大脑，使其脱离丰富的社会环境。社会神经科学中利用网络分析工具的新兴工作已经开始增进人们对人类大脑如何影响和受其社会环境结构影响的认识。在本文中，我们提供了网络分析（特别是用于社会系统）的关键理论和方法概述，作为对有兴趣将个体认知与个体社会环境结构联系起来的社会神经科学家的介绍。我们还强调了一些令人兴奋的新工作，作为如何有效地使用这些工具来研究与社会神经科学家相关的问题的范例。我们包括教程，以帮助实际实施我们讨论的概念。最后，我们强调了对有兴趣使用网络分析研究社会系统的社会神经科学家来说，广泛的令人兴奋的研究机会。
