Zinoviev - Complex Network Analysis in Python
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To my beautiful and most intelligent wife, Anna, and to our children: graceful ballerina, Eugenia, and romantic gamer, Roman.
This book is an excellent read for anyone who wants to learn the fundamentals of complex network analysis with a focus onapplication. The case studies cover avariety of topics and help readers link concepts to applications, providing readers with a clear, well-structured, hands-on experience that deepens their understanding of the concepts without requiring Python programming experience.
Kate Li, PhD |
Associate Professor, Sawyer Business School, Suffolk University |
As a social scientist interested in network analysis but having limited knowledge of Python, I found the book very useful. The author explains technical problems in a way that is easy to understand for non--computer scientists. It is a great introduction for those interested in network analysis seeking to apply the method in their research.
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 casestudies 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 book will help you learn the basics to startmastering the skills you need to analyze complex networks, not only at a conceptual level, but also at a practical level, by putting the theory into action using the Python programming language.
Jose Arturo Mora |
Head of Information Technology and Innovation, BNN Mexico |
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, andprofessionals interested in applying complex networks.
Rajesh Kumar Pandey |
Graduate Student, IIT Hyderabad |
Acknowledgments
This book would not be possible without my editor, Adaobi Obi Tulton. She had the courage to learn the dark inner secrets of complex network analysis and guided me through the minefields of manuscript preparation, from the fuzzy ideas at the onset to this very book in flesh and blood. Thank you, Adaobi.
I am grateful to my reviewers (in alphabetical order):Cody Buntain (University of Maryland),Remy Cazabet (Lyon University),Mark Chu-Carroll (Imagen Technologies),Raphal Fournier-Sniehotta (CDRIC),Michael Lin (Fugue Inc.),Jason Montojo (University of Toronto),Jose Arturo Mora (EY, BNN Mexico),Prasham Ojha (University of Koblenz-Landau), Talha Oz (George Mason University), andRajesh Kumar Pandey (Gade Autonomous Systems). Your reviews were indispensable. They profoundly affected the books style, structure, and usability. Thank you, my reviewers.
My wife, Anna; my children, Eugenia and Roman; and my friends and colleagues from Suffolk University provided much-needed emotional support. Writing a book is a quest. It feels good to be well supported. Thank you, my supporters.
Last but not least, the early readers of the beta book provided the errata requests. Errare humanum est , but the book is better without errors. Thank you, my early readers.
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