000			03202cam a22003854a 4500
001			16092291
003			OSt
005			20150408114001.0
008			111215s2010 enka b 001 0 eng
010			_a 2010006011
015			_aGBA999031 _2bnb
016	7		_a015390806 _2Uk
020			_a9780199206650 (acidfree paper)
020			_a0199206651 (acidfree paper)
035			_a(OCoLC)ocn456837194
040			_aDLC _cDLC _dYDX _dUKM _dYDXCP _dBWK _dBWX _dDLC
042			_apcc
050	0	0	_aT57.85 _b.N523 2010
082	0	0	_a003 N M N _222
100	1		_aNewman, M. E. J. _q(Mark E. J.) _98583
245	1	0	_aNetworks : _ban introduction / _cM.E.J. Newman.
260			_aOxford ; _aNew York : _bOxford University Press, _c2010.
300			_axi, 772 p. : _bill. (some col.) ; _c26 cm.
504			_aIncludes bibliographical references (p. 727-739) and index.
505	8		_aMachine 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"--
650		0	_aSystem analysis. _94033
650		0	_aNetwork analysis (Planning) _98584
650		0	_aSystems biology. _98585
650		0	_aEngineering systems. _98586
650		0	_aSocial systems. _98587
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cDVD
999			_c20048 _d254548