📅 Published: January 1, 2024
👤 Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson et al.
📖 Research Journal
📊 1,969 citations
AI-Generated Summary
Kickstart your research with this practical, bestselling guide to doing social network analysis. Get to grips with the mathematical foundations and learn how to use software tools such as NeTDraw and UNICET to reach your research goals.
⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.
Key Findings
1Get to grips with the mathematical foundations and learn how to use software tools such as NeTDraw and UNICET to reach your research goals.
2Supporting you step-by-step through the entire research process, from design and data collection to coding, visualisation, and analysis, the book also offers:• Case studies and examples using real data • Exercises drawn from the authors’ decades of teaching experience • Online access to datasets, worked examples and a software manual to help you practice your skills.Whether you are new to social network analysis or an experienced researcher, this approachable book is your technical toolbox and research companion all in one
Why It Matters
Mathematical breakthroughs form the theoretical backbone of science, cryptography, data analysis, and engineering.
This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source: