Working with Network Data: A Data Science Perspective

Bagrow, James; Ahn, Yong-Yeol

ISBN 10: 1009212591 ISBN 13: 9781009212595

Editorial: Cambridge University Press, 2024

Idioma: Ingl�s

Condici�n: Nuevo Encuadernaci�n de tapa dura

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New edition NO-PA16APR2015-KAP.

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Detalles bibliogr�ficos

T�tulo

Working with Network Data: A Data Science Perspective

Editor

Cambridge University Press

Fecha de publicaci�n

2024

Idioma

Ingl�s

ISBN 10

1009212591

ISBN 13

9781009212595

Encuadernaci�n

Encuadernaci�n de tapa dura

Estado

New

Cat�logos de vendedores

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Sinopsis

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.

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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.

Yong-Yeol Ahn is Professor at Indiana University and a former Visiting Professor at the Massachusetts Institute of Technology. He specializes in network and data science and machine learning, and his research on complex social and biological systems has been recognized by many awards, including the Microsoft Research Faculty Fellowship.

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