Complex Network Analysis in Python

Early Praise for Complex Network Analysis in Python

This book is an excellent read for anyone who wants to learn the fundamentals

of complex network analysis with a focus on application. The case studies cover

a variety of topics and help readers link concepts to applications, providing readers

with a clear, well-structured, hands-on experience that deepens their understand-

ing of the concepts without requiring Python programming experience.

➤

Kate Li, PhD

Associate Professor, Sawyer Business School, Suffolk University

Weiqi Zhang

Associate Professor of Government, Suffolk University

Complex Network Analysis in Python is a thorough introduction to the tools and

techniques needed for complex network analysis. Real-world case studies

demonstrate how one can easily use powerful Python packages to analyze large

networks and derive meaningful analytic insights.

➤

Mike Lin

Senior Software Engineer, Fugue, Inc.

Having a deep understanding of complex network analysis is hard; however, this

Complex networks have diverse applications in various fields, including health

care, social networks, and machine learning. I found this book to be an excellent

and comprehensive resource guide for researchers, students, and professionals

interested in applying complex networks.

➤

Rajesh Kumar Pandey

Graduate Student, IIT Hyderabad

Complex Network Analysis in Python

Recognize → Construct → Visualize → Analyze → Interpret

Dmitry Zinoviev