000			03308cam a2200409 i 4500
001			16092291
003			OSt
005			20220616104557.0
008			100215s2010 enka b 001 0 eng
010			_a 2010006011
015			_aGBA999031 _2bnb
016	7		_a015390806 _2Uk
020			_a9780199206650 _qhardcover
035			_a(OCoLC)ocn456837194
040			_aDLC _cDLC _dYDX _dUKM _dYDXCP _dBWK _dBWX _dDLC _dUOC _erda
042			_apcc
082	0	0	_a003 _222 _bMAR
100	1		_aNewman, M. E. J. _q(Mark E. J.) _eauthor. _9736
245	1	0	_aNetworks : _ban introduction / _cM. E. J. Newman.
264		1	_aOxford ; New York : _bOxford University Press, _c2010.
264		4	_c© M.E. J. Newman 2010.
300			_axi, 772 pages : _billustrations (some color) ; _c26 cm.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
504			_aIncludes bibliographical references 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"-- _cProvided by publisher.
650		0	_aSystem analysis. _9737
650		0	_aNetwork analysis (Planning) _9738
650		0	_aSocial systems. _93121
650		0	_aSystems biology. _93122
650		0	_aEngineering systems. _93114
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c209 _d209