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Hardcover. Condition: As New. 1st Edition. 209 clean unmarked pages; functional, all is there! I ship daily at 0900 CT IL USA; my NEW book has a squiggle in ink, inside cover;
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Condition: As New. Unread book in perfect condition.
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Opinion Dynamics and the Evolution of Social Power in Social Networks (Springer Theses)
Book 579 of 797: Springer ThesesSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Opinion Dynamics and the Evolution of Social Power in Social Networks
Book 579 of 797: Springer ThesesSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Opinion Dynamics and the Evolution of Social Power in Social Networks
Book 579 of 797: Springer ThesesSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Opinion Dynamics And The Evolution Of S
Book 579 of 797: Springer ThesesSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Opinion Dynamics and the Evolution of Social Power in Social Networks
Book 579 of 797: Springer ThesesLanguage: English
Published by Springer International Publishing, 2019
ISBN 10: 3030106055 ISBN 13: 9783030106058
US$ 109.51
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Condition: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
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Opinion Dynamics and the Evolution of Social Power in Social Networks
Book 579 of 797: Springer ThesesUS$ 177.45
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Add to basketHardcover. Condition: Brand New. 236 pages. 9.25x6.10x0.79 inches. In Stock.
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Opinion Dynamics and the Evolution of Social Power in Social Networks
Book 579 of 797: Springer ThesesLanguage: English
Published by Springer International Publishing, 2019
ISBN 10: 3030106055 ISBN 13: 9783030106058
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This 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.
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Condition: new. Questo è un articolo print on demand.
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Opinion Dynamics and the Evolution of Social Power in Social Networks
Book 579 of 797: Springer ThesesLanguage: English
Published by Springer International Publishing Mrz 2019, 2019
ISBN 10: 3030106055 ISBN 13: 9783030106058
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This 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. 236 pp. Englisch.
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Opinion Dynamics and the Evolution of Social Power in Social Networks (Springer Theses)
Book 579 of 797: Springer ThesesUS$ 166.84
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Condition: New. PRINT ON DEMAND.
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Opinion Dynamics and the Evolution of Social Power in Social Networks
Book 579 of 797: Springer ThesesLanguage: English
Published by Springer, Palgrave Macmillan Mär 2019, 2019
ISBN 10: 3030106055 ISBN 13: 9783030106058
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 236 pp. Englisch.
