Each of us is embedded in a unique personal network of relatives, friends and acquaintances. This book is the first to offer a comprehensive guide to analysing these personal networks in R.
Covering the full arc of personal network analysis, from importing and visualising data to describing structures and examining networks in context or over time, the book explores the theory and practice of different methods. It also:
Supports beginners by moving at a steady pace, assuming no prior familiarity with personal or social network analysis Integrates practical application of analysis in R and the tidyverse, offering supplementary online material including R code and output Encourages deeper engagement with the material, providing further reading suggestions in every chapter for developing understanding.This is the ideal book for postgraduate students and researchers across the social and behavioural sciences looking to use personal network methods.