000			03874cam a2200373 i 4500
001			16527306
003			OSt
005			20150408114025.0
008			101101t20112011enka b 001 0 eng
010			_a 2010046602
020			_a9780521113663 (hardback)
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aTA352 _b.W47 2011
082	0	0	_a003.72 _222
084			_aTEC009000 _2bisacsh
100	1		_aWest, Bruce J. _913197
245	1	0	_aComplex Webs : _bAnticipating the Improbable / _cBruce J. West, Paolo Grigolini.
260			_aCambridge ; _aNew York : _bCambridge University Press, _c2011, ©2011.
300			_ax, 375 pages : _billustrations ; _c26 cm
504			_aIncludes bibliographical references and index.
505	8		_aMachine generated contents note: 1. Webs; 2. Webs, trees and branches; 3. Mostly linear dynamics; 4. Random walks and chaos; 5. Non-analytic dynamics; 6. Brief recent history of webs; 7. Dynamics of chance; 8. Synopsis.
520			_a"Complex Webs synthesises modern mathematical developments with a broad range of complex network applications of interest to the engineer and system scientist, presenting the common principles, algorithms, and tools governing network behaviour, dynamics, and complexity. The authors investigate multiple mathematical approaches to inverse power laws and expose the myth of normal statistics to describe natural and man-made networks. Richly illustrated throughout with real-world examples including cell phone use, accessing the Internet, failure of power grids, measures of health and disease, distribution of wealth, and many other familiar phenomena from physiology, bioengineering, biophysics, and informational and social networks, this book makes thought-provoking reading. With explanations of phenomena, diagrams, end-of-chapter problems, and worked examples, it is ideal for advanced undergraduate and graduate students in engineering and the life, social, and physical sciences. It is also a perfect introduction for researchers who are interested in this exciting new way of viewing dynamic networks"--
520			_a"The Italian engineer turned social scientist Vilfredo Pareto was the first investigator to determine that the income in western society followed a law that was fundamentally unfair. He was not making a value judgement about the poor and uneducated or about the rich and pampered; rather, he was interpreting the empirical finding that in 1894 the distribution of income in western societies was not "normal," but instead the number of people with a given income decreased as a power of the level of income. On bi-logarithmic graph paper this income distribution graphs as a straight-line segment of negative slope and is called an inverse power law. He interpreted his findings as meaning that a stable society has an intrinsic imbalance resulting from its complex nature, with the wealthy having a disproportionate fraction of the available wealth. Since then staggeringly many phenomena from biology, botany, economics, medicine, physics, physiology, psychology, in short every traditional discipline, have been found to involve complex phenomena that manifest inverse power-law behavior"--
650		0	_aDynamics _xStatistical methods. _913198
650		0	_aInverse relationships (Mathematics) _913199
650		0	_aInverse problems (Differential equations)
650		7	_aTECHNOLOGY & ENGINEERING / Engineering (General) _2bisacsh. _913200
700	1		_aGrigolini, Paolo, _d1940- _913201
856	4	1	_3Table of contents only _uhttp://www.loc.gov/catdir/toc/fy11pdf03/2010046602.html
856	4	2	_3Cover image _uhttp://assets.cambridge.org/97805211/13663/cover/9780521113663.jpg
942			_2ddc _cBOOK
999			_c22289 _d256789