How to use this book
0.1 Reading paths
The book is structured so that you can read it linearly — front to back — or jump straight to the chapter that answers your current question. If you do not yet know which method fits your problem, start with the Find Your Method navigator (Chapter 1). It maps typical research questions (“evaluate a journal portfolio”, “detect emerging topics”, “study collaboration patterns”) to the chapters and case studies that demonstrate the relevant techniques.
0.2 Code chunks
Every analytical claim is paired with a runnable R chunk. Chunks are
labelled (label), and figures use fig.cap / fig.alt so the book
remains accessible. Chunks that need network access, paid credentials,
or interactive widgets are marked eval = FALSE and document what is
required to run them locally.
0.3 Callouts
Three callout styles appear throughout:
0.4 Companion data
Small sample datasets that the chapters fall back to (when a live API
call is not appropriate) are bundled with the companion R package
scientometricsInR. Larger illustrative corpora live under data/ in
the source repository.