Behavioral Network Science
About This Book
Behavioral Network Science looks at why structure matters in the behavioral sciences and how it shapes behavior. It works through open questions in a range of areas: language evolution, child language learning, memory search, age-related cognitive decline, creativity, group problem solving, opinion dynamics, conspiracies, and conflict. Along the way, readers learn core behavioral science theory together with new applications of network science. The book also includes an introductory guide to network science. It shows how to turn data into networks, how to measure network structure at different scales, and how to build an intuition for the ways structure arises and changes over time. Online R code lets readers explore the data themselves and reproduce all of the book's visualizations and simulations, so they can go on to make their own contributions. The book is aimed at two groups: data scientists who want a professional understanding of how the behavioral sciences inform network science, and behavioral scientists who want to learn to apply network science from the ground up.
ISBN: 9781108793339
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