心理信息
社会网络分析
词汇表
背景(考古学)
数据科学
社交网络(社会语言学)
计算机科学
集合(抽象数据类型)
多样性(控制论)
信息学
网络分析
心理学
应用心理学
梅德林
万维网
人工智能
社会化媒体
工程类
物理
哲学
古生物学
电气工程
生物
程序设计语言
法学
量子力学
语言学
政治学
作者
Michael Broda,Kristen L. Granger,Jason C. Chow,Erica Ross
出处
期刊:Psychological Methods
[American Psychological Association]
日期:2021-12-16
卷期号:28 (4): 791-805
被引量:26
摘要
Social network analysis (SNA) is a highly flexible research method that allows for novel exploration of a wide variety of research phenomena. Evidence from fields as disparate as public health, education, informatics, sociology, and medicine has demonstrated the importance of recognizing the complexity inherent in individuals' connections with others. In this article, we provide a brief conceptual overview of social network theory and methodology, and then demonstrate how to apply SNA to an applied psychological research context studying students embedded in classrooms. We also provide numerous supporting materials on our OSF page, including R code for all analyses, a dataset containing social network data, and a glossary of key terms in social network analysis. We conclude with a set of recommendations for researchers interested in applying SNA to their own contexts and content areas. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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