000			02889nam a22003978i 4500
001			CR9780511791383
003			UkCbUP
005			20200124160259.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			100611s2013||||enk o ||1 0|eng|d
020			_a9780511791383 (ebook)
020			_z9780521879507 (hardback)
020			_z9781107626256 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA402 _b.B374 2013
082	0	0	_a511/.5 _223
100	1		_aBarrat, Alain, _d1971- _eauthor.
245	1	0	_aDynamical processes on complex networks / _cAlain Barrat, Marc Barthélemy, Alessandro Vespignani.
264		1	_aCambridge : _bCambridge University Press, _c2013.
300			_a1 online resource (xvii, 347 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aNetworks and graphs -- Networks and complexity -- Network models -- Introduction to dynamical processes : theory and simulation -- Phase transitions on complex networks -- Resilience and robustness of networks -- Synchronization phenomena in networks -- Walking and searching on networks -- Epidemic spreading in population networks -- Social networks and collective behavior -- Traffic on complex networks -- Networks in biology : from the cell to ecosystems -- Postface : critically examining complex networks science.
520			_aThe availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. This book presents a comprehensive account of these effects. A vast number of systems, from the brain to ecosystems, power grids and the Internet, can be represented as large complex networks. This book will interest graduate students and researchers in many disciplines, from physics and statistical mechanics to mathematical biology and information science. Its modular approach allows readers to readily access the sections of most interest to them, and complicated maths is avoided so the text can be easily followed by non-experts in the subject.
650		0	_aSystem analysis.
650		0	_aNetwork theory.
650		0	_aGraph theory.
650		0	_aElectric networks.
700	1		_aBarthelemy, Marc, _d1965- _eauthor.
700	1		_aVespignani, Alessandro, _d1965- _eauthor.
776	0	8	_iPrint version: _z9780521879507
856	4	0	_uhttps://doi.org/10.1017/CBO9780511791383
999			_c520226 _d520224