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Networks /

The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network...

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Bibliographic Details
Main Author: Newman, M. E. J. (Mark E. J.) (Author)
Format: eBook
Language:English
Published: Oxford, United Kingdom ; New York, NY, United States of America : Oxford University Press, 2018.
Edition:Second edition.
Subjects:
System analysis.
Network analysis (Planning)
Systems biology.
Engineering systems.
Social systems.
Analyse de systèmes.
Analyse de réseau (Planification)
Biologie systémique.
Systèmes d'ingénierie.
Systèmes sociaux.
systems analysis.
SCIENCE > System Theory.
TECHNOLOGY & ENGINEERING > Operations Research.
Engineering systems
Social systems
System analysis
Systems biology
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on an unprecedented scale, and the development of new theoretical tools has allowed us to extract new knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and `developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together the most important breakthroughs in each of these fields and presents them in a unified fashion, highlighting the strong interconnections between work in different areas. Topics covered include the measurement of networks; methods for analyzing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms, including spectral algorithms and community detection; mathematical models of networks such as random graph models; and models of processes taking place on networks.
Physical Description:1 online resource : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9780192527493
0192527495
9780191843235
0191843237