Behavioral Network Science

Thomas T. Hills

ISBN 10: 1108793339 / ISBN 13: 9781108793339

Published by Cambridge University Press, GB, 2024

About this Item

Behavioral Network Science explains how and why structure matters in the behavioral sciences. Exploring open questions in language evolution, child language learning, memory search, age-related cognitive decline, creativity, group problem solving, opinion dynamics, conspiracies, and conflict, readers will learn essential behavioral science theory alongside novel network science applications. This book also contains an introductory guide to network science, demonstrating how to turn data into networks, quantify network structure across scales, and hone one's intuition for how structure arises and evolves. Online R code allows readers to explore the data and reproduce all the visualizations and simulations for themselves, empowering them to make contributions of their own. For data scientists interested in gaining a professional understanding of how the behavioral sciences inform network science, or behavioral scientists interested in learning how to apply network science from the ground up, this book is an essential guide.

Seller Inventory # LU-9781108793339

Bibliographic Details

• Title: Behavioral Network Science
• Publisher: Cambridge University Press, GB
• Publication Date: 2024
• Language: English
• ISBN 10: 1108793339
• ISBN 13: 9781108793339
• Binding: Paperback
• Condition: New
• Weight: 720 grams

About this title

Synopsis

Behavioral Network Science explains how and why structure matters in the behavioral sciences. Exploring open questions in language evolution, child language learning, memory search, age-related cognitive decline, creativity, group problem solving, opinion dynamics, conspiracies, and conflict, readers will learn essential behavioral science theory alongside novel network science applications. This book also contains an introductory guide to network science, demonstrating how to turn data into networks, quantify network structure across scales, and hone one's intuition for how structure arises and evolves. Online R code allows readers to explore the data and reproduce all the visualizations and simulations for themselves, empowering them to make contributions of their own. For data scientists interested in gaining a professional understanding of how the behavioral sciences inform network science, or behavioral scientists interested in learning how to apply network science from the ground up, this book is an essential guide.

About the Author

Dr Thomas Hills is a Professor of Psychology at the University of Warwick. He directs the Behavioral and Data Science MSc at the University of Warwick, concentrating on how humans represent and navigate information in the mind and society. He has previously held fellowships with the Alan Turing Institute and the Royal Society.