000			02937cam a2200397Ii 4500
001			95606
003			ES-MaUEC
005			20230102112712.0
006			m o d
007			cr cnu|||unuuu
008			170317s2017 sz ob 001 0 eng d
020			_a3319542893 _q(electronic bk.)
020			_a9783319542898 _q(electronic bk.)
020			_z3319542885
020			_z9783319542881 _q(print)
040			_aN$T _cN$T _dEBLCP _dGW5XE _dN$T _dYDX _dOCLCF _dUAB _dNJR _dAZU _dUPM _dIOG _dCOO _dESU _dVT2 _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aQA76.76.I58 _bE847 2017 EB
100	1		_aEtesami, Seyed Rasoul, _eautor
245	1	0	_aPotential-based analysis of social, communication, and distributed networks _cSeyel Rasoul Etesami.
264		1	_aCham, Switzerland _bSpringer _c2017.
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aSpringer theses
500			_a"Doctoral thesis accepted by University of Illinois at Urbana-Champaign, Champaign, USA."
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas e índice
505	0		_aIntroduction -- Notation and Mathematical Preliminaries -- Unbiased Quantized Consensus -- Metropolis Quantized Consensus -- Hegselmann-Krause Opinion Dynamics in Finite Dimensions -- Capacitated Selfish Replication Game -- Diffusion Games Over Social Networks -- Conclusions and Directions for Future Research.
520	3		_aThis work makes major contributions to the thriving area of social, communication, and distributed networks by introducing novel methodologies and tools toward the study of the evolutionary behaviors of these networks, as well as their computational complexity and rates of convergence. By departing from the classical approaches and results in the literature, this work shows that it is possible to handle more complex and realistic nonlinear models where either the traditional approaches fail or lead to weak results. The author also develops several easily implementable algorithms, delivering excellent performance guarantees while running faster than those that exist in the literature. The study undertaken and the approaches adopted enable the analysis of the evolution of several different types of social and distributed networks, with the potential to apply to and resolve several other outstanding issues in such networks.
650		7	_aSistemas multiagente _2embne _0(OCoLC)fst01749717 _0 _9667894
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-54289-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017C
998			_b02/2018 _dz _e- _zSI
999			_c95606 _d95606 _x1