State of the aRt personality research: A tutorial on network analysis of personality data in R
State of the aRt personality research: A tutorial on network analysis of personality data in R
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DOI：
10.1016/j.jrp.2014.07.003
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发表时间：
2015-02-01
影响因子：
3.3
通讯作者：
Cramer, Angelique O. J.
中科院分区：
文献类型：
--
作者：
Costantini, Giulio;Epskamp, Sacha;Cramer, Angelique O. J.
网络分析代表了一种新的人格理论方法。网络方法激发了分析数据的替代方法，并提出了建模和模拟人格过程的新方法。在本文中，我们概述了适用于个性数据的网络分析策略。我们讨论了从典型的个性数据构建网络的不同方法，展示了如何计算和解释中心性和聚类的重要度量，并说明了如何在网络上模拟人格过程。所有分析都使用常用HEXACO调查问卷上的数据集进行说明，该调查问卷使用基本R代码，读者可以很容易地将其应用于自己的数据。(C)2014爱思唯尔公司All rights reserved.
Network analysis represents a novel theoretical approach to personality. Network approaches motivate alternative ways of analyzing data, and suggest new ways of modeling and simulating personality processes. In the present paper, we provide an overview of network analysis strategies as they apply to personality data. We discuss different ways to construct networks from typical personality data, show how to compute and interpret important measures of centrality and clustering, and illustrate how one can simulate on networks to mimic personality processes. All analyses are illustrated using a data set on the commonly used HEXACO questionnaire using elementary R-code that readers may easily adapt to apply to their own data. (C) 2014 Elsevier Inc. All rights reserved.