000			03254nam a2200361 a 4500
001			16092291
008			110604s2010 enka b 001 0 eng
010			_a 2010006011
015			_aGBA999031 _2bnb
016	7		_a015390806 _2Uk
020			_a9780199206650 (acid-free paper)
020			_a0199206651 (acid-free paper)
035			_a(OCoLC)ocn456837194
040			_aDLC _cDLC _dYDX _dUKM _dYDXCP _dBWK _dBWX _dDLC _dBD-DhAAL
042			_apcc
050	0	0	_aT57.85 _b.N523 2010
082	0	0	_a003 _222
100	1		_aNewman, M. E. J. _q(Mark E. J.)
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.
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"-- _cProvided by publisher.
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.
650		0	_aSystem analysis.
650		0	_aNetwork analysis (Planning)
650		0	_aSystems biology.
650		0	_aEngineering systems.
650		0	_aSocial systems.
999			_c10938 _d10938
952			_w2011-06-06 _p3010023056 _r2011-06-06 _40 _eTrust Line International _00 _bBRACUL _10 _o003 NEW _d2011-06-01 _t1 _70 _cGEN _2ddc _g8633.00 _yBK _aBRACUL