Description
Working with Network Data: A Data Science Perspective provides a thorough introduction to network analysis from a modern data science viewpoint. Written by leading researchers James Bagrow and Yong-Yeol Ahn, this Cambridge University Press publication bridges the gap between theoretical network science and practical computational applications.
The book covers essential topics including network representation, statistical properties, algorithms, and visualization techniques. Readers will learn to work with real-world network datasets across various domains such as social networks, biological systems, and infrastructure networks. The authors present hands-on approaches to data collection, preprocessing, and analysis, with emphasis on computational efficiency and scalability.
Ideal for data scientists, researchers, and students, this resource combines mathematical rigor with accessible explanations and practical examples. Whether analyzing social connections, protein interactions, or transportation systems, this book equips readers with the tools and knowledge needed to extract meaningful insights from network data.
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