In recent years, network analysis has been applied to identify and analyse patterns of
statistical association in multivariate psychological data. In these approaches, network …

Centrality indices are a popular tool to analyze structural aspects of psychological networks.
As centrality indices were originally developed in the context of social networks, it is unclear …

Recently, researchers in clinical psychology have endeavored to create network models of
the relationships between symptoms, both within and across mental disorders. Symptoms …

摘要复杂网络的重要节点是指相比网络其他节点而言, 能够在更大程度上影响网络的结构与功能
的一些特殊节点. 近年来, 节点重要性排序研究受到越来越广泛的关注, 不仅因为其重大的理论 …

Statistical network models describing multivariate dependency structures in psychological
data have gained increasing popularity. Such comparably novel statistical techniques …

This book is a comprehensive introduction to quantitative approaches to complex adaptive
systems. Practically all areas of life on this planet are constantly confronted with complex …

Network approaches to psychometric constructs, in which constructs are modeled in terms of
interactions between their constituent factors, have rapidly gained popularity in psychology …

Objective: The present paper presents a brief overview on network analysis as a statistical
approach for health psychology researchers. Networks comprise graphical representations …

Practical interest in 'off-site construction'has risen remarkably over the last decade, and with
it there has been a burgeoning of academic research in the field. Complementing this …

Recent years have seen an emergence of network modeling applied to moods, attitudes,
and problems in the realm of psychology. In this framework, psychological variables are …