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Networks : = an introduction /

Newman, M. E. J.

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Networks : = an introduction /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Networks :/ M.E.J. Newman.
Reminder of title:	an introduction /
Author:	Newman, M. E. J.
Published:	Oxford :Oxford University Press, : 2010.,
Description:	xi, 772 p., [4] p. of plates :ill. ;26 cm.
[NT 15003449]:	Machine generated contents note: -- 1. Introduction -- 2. Technological Networks -- 3. Social Networks -- 4. Information Networks -- 5. Biological Networks -- 6. Mathematics of Networks -- 7. Measures and Metrics -- 8. The Large-scale Structure of Networks -- 9. Basic Concepts of Algorithms -- 10. Fundamental Network Algorithms -- 11. Matrix Algorithms and Graph Partitioning -- 12. Random Graphs -- 13. Generalized Random Graphs -- 14. Models of Network Formation -- 15. Other Network Models -- 16. Percolation and Network Resilience -- 17. Epidemics on Networks -- 18. Dynamical Systems on Networks -- 19. Network Search -- References -- Index.
Subject:	System analysis. -
ISBN:	9780199206650 (hbk.) :

Networks : = an introduction /
Newman, M. E. J.

Networks :an introduction /M.E.J. Newman. - Oxford :Oxford University Press,2010. - xi, 772 p., [4] p. of plates :ill. ;26 cm.

Includes bibliographical references and index.

Machine generated contents note: -- 1. Introduction -- 2. Technological Networks -- 3. Social Networks -- 4. Information Networks -- 5. Biological Networks -- 6. Mathematics of Networks -- 7. Measures and Metrics -- 8. The Large-scale Structure of Networks -- 9. Basic Concepts of Algorithms -- 10. Fundamental Network Algorithms -- 11. Matrix Algorithms and Graph Partitioning -- 12. Random Graphs -- 13. Generalized Random Graphs -- 14. Models of Network Formation -- 15. Other Network Models -- 16. Percolation and Network Resilience -- 17. Epidemics on Networks -- 18. Dynamical Systems on Networks -- 19. Network Search -- References -- Index.

"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 a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks. The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas. Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks"-- Provided by publisher.

ISBN: 9780199206650 (hbk.) :US85.00

LCCN: 2010006011Subjects--Topical Terms:

545616
System analysis.

LC Class. No.: T57.85 / .N523 2010

Dewey Class. No.: 003

Networks : = an introduction /
LDR:02603cam a2200205 a 4500 001 999656
008 120302s2010 enka b 001 0 eng
010 $a 2010006011
020 $a 9780199206650 (hbk.) : $c US85.00
020 $a 0199206651 (hbk.)
035 $a LIB-BW-101-007
040 $a DLC $c DLC
050 0 0 $a T57.85 $b .N523 2010
082 0 0 $a 003 $2 22
100 1 $a Newman, M. E. J. $q (Mark E. J.). $3 1485974
245 1 0 $a Networks : $b an introduction / $c M.E.J. Newman.
260 # $a Oxford : $b Oxford University Press, $c 2010.
300 $a xi, 772 p., [4] p. of plates : $b ill. ; $c 26 cm.
504 $a Includes bibliographical references and index.
504 $a Includes bibliographical references and index.
505 8 # $a Machine generated contents note: -- 1. Introduction -- 2. Technological Networks -- 3. Social Networks -- 4. Information Networks -- 5. Biological Networks -- 6. Mathematics of Networks -- 7. Measures and Metrics -- 8. The Large-scale Structure of Networks -- 9. Basic Concepts of Algorithms -- 10. Fundamental Network Algorithms -- 11. Matrix Algorithms and Graph Partitioning -- 12. Random Graphs -- 13. Generalized Random Graphs -- 14. Models of Network Formation -- 15. Other Network Models -- 16. Percolation and Network Resilience -- 17. Epidemics on Networks -- 18. Dynamical Systems on Networks -- 19. Network Search -- References -- Index.
520 # $a "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 a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks. The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas. Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks"-- Provided by publisher.
650 # 0 $a System analysis. $3 545616
650 # 0 $a Network analysis (Planning). $3 670799
650 # 0 $a Systems biology. $3 905904
650 # 0 $a Engineering systems. $3 752037
650 # 0 $a Social systems. $3 528932