Thinking is complex. Over the years, several types of methods and paradigms have developed across the psychological, cognitive, and neural sciences to study such complexity. A rapidly growing multidisciplinary quantitative field of network science offers quantitative methods to represent complex systems as networks, or graphs, and study the network properties of these systems. While the application of network science to study the brain has greatly advanced our understanding of the brains structure and function, the application of these tools to study cognition has been done to a much lesser account. This topic is a collection of papers that discuss the fruitfulness of applying network science to study cognition across a wide scope of research areas from generalist accounts of memory and encoding, to individual differences, to communities, and finally to cultural and individual change.

中文翻译：

---

编辑对心灵网络的介绍：网络科学如何阐明我们对认知的理解？

思维很复杂。多年来，心理学、认知和神经科学已经发展出几种类型的方法和范式来研究这种复杂性。网络科学的一个快速发展的多学科定量领域提供了将复杂系统表示为网络或图形的定量方法，并研究这些系统的网络特性。虽然将网络科学应用于大脑研究极大地促进了我们对大脑结构和功能的理解，但这些工具在认知研究中的应用却鲜为人知。本主题是一组论文，讨论了将网络科学应用于研究认知的成果，涵盖广泛的研究领域，从记忆和编码的通才描述，到个体差异，再到社区，