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710	2		_aSpringerLink (Online service) _9106996
999			_c111471 _d111471 _x1
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005			20230102113514.0
008			190219s2019 gw a o |||| 0|eng d
020			_a9783030106065
024	7		_a10.1007/978-3-030-10606-5 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aHM742 _b2019 EB
100	1		_aYe, Mengbin _eautor _9671233
245	1	0	_aOpinion Dynamics and the Evolution of Social Power in Social Networks _cby Mengbin Ye.
264		1	_aCham _bImprint: Springer _c2019
300			_a1 recurso en línea (XXIII, 209 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aSpringer Theses Recognizing Outstanding Ph.D. Research _x2190-5053
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction -- Preliminaries -- A Novel Model for Opinion Dynamics Under Pressure to Conform -- The EPO Model's Connections with Social Psychology Concepts -- Evolution of Social Power in Networks with Constant Topology -- Dynamic Social Networks: Exponential Forgetting of Perceived Social Power -- Modification of Social Dominance in Autocratic Networks -- Nonlinear Mapping Convergence and Application to Social Power Analysis -- Continuous-Time Opinion Dynamics with Interdependent Topics -- Conclusions and Future Work.
520	3		_aThis book uses rigorous mathematical analysis to advance opinion dynamics models for social networks in three major directions. First, a novel model is proposed to capture how a discrepancy between an individual's private and expressed opinions can develop due to social pressures that arise in group situations or through extremists deliberately shaping public opinion. Detailed theoretical analysis of the final opinion distribution is followed by use of the model to study Asch's seminal experiments on conformity, and the phenomenon of pluralistic ignorance. Second, the DeGroot-Friedkin model for evolution of an individual's social power (self-confidence) is developed in a number of directions. The key result establishes that an individual's initial social power is forgotten exponentially fast, even when the network changes over time; eventually, an individual's social power depends only on the (changing) network structure. Last, a model for the simultaneous discussion of multiple logically interdependent topics is proposed. To ensure that a consensus across the opinions of all individuals is achieved, it turns out that the interpersonal interactions must be weaker than an individual's introspective cognitive process for establishing logical consistency among the topics. Otherwise, the individual may experience cognitive overload and the opinion system becomes unstable. Conclusions of interest to control engineers, social scientists, and researchers from other relevant disciplines are discussed throughout the thesis with support from both social science and control literature.
988			_aPrimersemestre_2019_Robotics
650		7	_2embne _aRedes sociales en Internet _9431622
776	0	8	_iPrinted edition: _z9783030106058
776	0	8	_iPrinted edition: _z9783030106072
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-10606-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b11/2019 _ek _zSI