Working with Network Data : A Data Science Perspective

James Bagrow

ISBN 10: 1009212591 / ISBN 13: 9781009212595

Edité par Cambridge University Press Jun 2024, 2024

A propos de cet article

Neuware - 'Drawing examples from real-world networks, this essential book traces the methods behind network analysis and equips you with a toolbox of diverse methods and data modelling approaches. Suitable for both graduate students and researchers across a range of disciplines, this novel text provides a fasttrack to network data expertise'--.

N° de réf. du vendeur 9781009212595

Détails bibliographiques

• Titre: Working with Network Data : A Data Science Perspective
• Éditeur: Cambridge University Press Jun 2024
• Date de parution: 2024
• Langue: anglais
• ISBN à 10 chiffres: 1009212591
• ISBN à 13 chiffres: 9781009212595
• Reliure: Buch
• État de l'article: Neu

A propos de ce titre

Synopsis

Drawing examples from real-world networks, this essential book traces the methods behind network analysis and explains how network data is first gathered, then processed and interpreted. The text will equip you with a toolbox of diverse methods and data modelling approaches, allowing you to quickly start making your own calculations on a huge variety of networked systems. This book sets you up to succeed, addressing the questions of what you need to know and what to do with it, when beginning to work with network data. The hands-on approach adopted throughout means that beginners quickly become capable practitioners, guided by a wealth of interesting examples that demonstrate key concepts. Exercises using real-world data extend and deepen your understanding, and develop effective working patterns in network calculations and analysis. Suitable for both graduate students and researchers across a range of disciplines, this novel text provides a fast-track to network data expertise.

À propos de l?auteur

James Bagrow is Associate Professor in Mathematics & Statistics at the University of Vermont. He works at the intersection of data science, complex systems and applied mathematics, using cutting-edge methods, mathematical models and large-scale data to explore and understand complex networks and systems.