Skip to content

massimoaria/biblioshiny-book

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Science Mapping Analysis — A Primer with Biblioshiny

License: MIT Bibliometrix GitHub stars

Official companion repository for the book "Science Mapping Analysis — A Primer with Biblioshiny"


📖 About This Book

This repository bridges theory and practice for bibliometric research. It provides all the datasets, scripts, and supplementary materials needed to replicate every analysis presented in the book, using the bibliometrix R package and its web interface, Biblioshiny.

The book covers both the methodological foundations of science mapping and hands-on applications, with each chapter structured around a real-world case study.


📁 Repository Structure

biblioshiny-book/ ├── datasets/ # Raw bibliographic data (WoS & Scopus exports) ├── content_analysis/ # Plain-text files for Chapter 11 (Content Analysis) └── other_files/ # Ancillary files for text pre-processing 

Folder Details

Folder Description
/datasets Raw bibliographic data in Plain Text and BibTeX formats, exported from Web of Science (WoS) and Scopus. Used in the step-by-step tutorials throughout the book.
/content_analysis Plain-text files produced by the Biblioshiny Content Analysis extraction step, used to reproduce all results in Chapter 11.
/other_files Ancillary resources for text pre-processing, including custom stopword lists and synonym dictionaries used in the Content Analysis workflows.

Content Analysis Source Papers

The /content_analysis folder includes pre-processed text files based on the following reference works:

  • Ramos-Rodríguez, A. R., & Ruíz-Navarro, J. (2004). Changes in the intellectual structure of strategic management research: A bibliometric study of the Strategic Management Journal, 1980–2000. Strategic Management Journal, 25(10), 981–1004.

  • Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472.


🚀 Getting Started

1. Clone the Repository

git clone https://github.com/massimoaria/biblioshiny-book.git cd biblioshiny-book

2. Install bibliometrix

install.packages("bibliometrix")

3. Launch Biblioshiny

library(bibliometrix) biblioshiny()

4. Load the Datasets

Open the datasets/ folder and locate the files referenced in each chapter. Files are named according to the corresponding chapters and case studies in the book.


📦 Requirements

  • R ≥ 4.1.0
  • bibliometrix ≥ 4.0.0
  • A modern web browser (for the Biblioshiny interface)

📬 Contact & Support


📄 License

This repository is released under the MIT License.
© Massimo Aria

About

The official GitHub repository for the book "A Primer on Science Mapping Analysis with Biblioshiny". This repository serves as a digital extension of the manual, providing readers with the necessary resources to replicate the analyses described in the text and to explore advanced bibliometric workflows.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors