Isbn: 9783319048789 - networks of echoes: imitation, innovation and invisible leaders (16 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2014

    3319048783 / 9783319048789

    Serie: Libro 2 di 26 - Computational Social Sciences

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    Hardback or Cased Book. Condizione: New. Networks of Echoes: Imitation, Innovation and Invisible Leaders. Book.

  • Lingua: Inglese

    Editore: Springer, 2014

    3319048783 / 9783319048789

    Serie: Libro 2 di 26 - Computational Social Sciences

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    Serie: Libro 2 di 26 - Computational Social Sciences

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer, 2014

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    Serie: Libro 2 di 26 - Computational Social Sciences

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  • Lingua: Inglese

    Editore: Springer, 2014

    3319048783 / 9783319048789

    Serie: Libro 2 di 26 - Computational Social Sciences

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    Condizione: New. pp. 240.

  • Lingua: Inglese

    Editore: Springer Verlag, 2014

    3319048783 / 9783319048789

    Serie: Libro 2 di 26 - Computational Social Sciences

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    Hardcover. Condizione: Brand New. 2014 edition. 225 pages. 9.25x6.25x0.75 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2014

    3319048783 / 9783319048789

    Serie: Libro 2 di 26 - Computational Social Sciences

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Networks of Echoes: Imitation, Innovation and Invisible Leaders is a mathematically rigorous and data rich book on a fascinating area of the science and engineering of social webs. There are hundreds of complex network phenomena whose statistical properties are described by inverse power laws. The phenomena of interest are not arcane events that we encounter only fleetingly, but are events that dominate our lives. We examine how this intermittent statistical behavior intertwines itself with what appears to be the organized activity of social groups. The book is structured as answers to a sequence of questions such as: How are decisions reached in elections and boardrooms How is the stability of a society undermined by zealots and committed minorities and how is that stability re-established Can we learn to answer such questions about human behavior by studying the way flocks of birds retain their formation when eluding a predator These questions and others are answered using a generic model of a complex dynamic network-one whose global behavior is determined by a symmetric interaction among individuals based on social imitation. The complexity of the network is manifest in time series resulting from self-organized critical dynamics that have divergent first and second moments, are non-stationary, non-ergodic and non-Poisson. How phase transitions in the network dynamics influence such activity as decision making is a fascinating story and provides a context for introducing many of the mathematical ideas necessary for understanding complex networks in general. The decision making model (DMM) is selected to emphasize that there are features of complex webs that supersede specific mechanisms and need to be understood from a general perspective. This insightful overview of recent tools and their uses may serve as an introduction and curriculum guide in related courses.

  • Lingua: Inglese

    Editore: Springer, 2014

    3319048783 / 9783319048789

    Serie: Libro 2 di 26 - Computational Social Sciences

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  • Lingua: Inglese

    Editore: Springer International Publishing Apr 2014, 2014

    3319048783 / 9783319048789

    Serie: Libro 2 di 26 - Computational Social Sciences

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Networks of Echoes: Imitation, Innovation and Invisible Leaders is a mathematically rigorous and data rich book on a fascinating area of the science and engineering of social webs. There are hundreds of complex network phenomena whose statistical properties are described by inverse power laws. The phenomena of interest are not arcane events that we encounter only fleetingly, but are events that dominate our lives. We examine how this intermittent statistical behavior intertwines itself with what appears to be the organized activity of social groups. The book is structured as answers to a sequence of questions such as: How are decisions reached in elections and boardrooms How is the stability of a society undermined by zealots and committed minorities and how is that stability re-established Can we learn to answer such questions about human behavior by studying the way flocks of birds retain their formation when eluding a predator These questions and others are answered using a generic model of a complex dynamic network-one whose global behavior is determined by a symmetric interaction among individuals based on social imitation. The complexity of the network is manifest in time series resulting from self-organized critical dynamics that have divergent first and second moments, are non-stationary, non-ergodic and non-Poisson. How phase transitions in the network dynamics influence such activity as decision making is a fascinating story and provides a context for introducing many of the mathematical ideas necessary for understanding complex networks in general. The decision making model (DMM) is selected to emphasize that there are features of complex webs that supersede specific mechanisms and need to be understood from a general perspective. This insightful overview of recent tools and their uses may serve as an introduction and curriculum guide in related courses. 240 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, 2014

    3319048783 / 9783319048789

    Serie: Libro 2 di 26 - Computational Social Sciences

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    Condizione: New. Print on Demand pp. 240 86 Illus. (1 Col.).

  • Lingua: Inglese

    Editore: Springer, 2014

    3319048783 / 9783319048789

    Serie: Libro 2 di 26 - Computational Social Sciences

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    Condizione: New. PRINT ON DEMAND pp. 240.

  • Lingua: Inglese

    Editore: Springer International Publishing, 2014

    3319048783 / 9783319048789

    Serie: Libro 2 di 26 - Computational Social Sciences

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Uses a single relatively simple computational model to investigate consensusExplores the different complexities in time and network topologyFeatures criticality and phase transition to explain consensus and neuronal avalanchesDemonst.

  • Lingua: Inglese

    Editore: Springer, Springer Apr 2014, 2014

    3319048783 / 9783319048789

    Serie: Libro 2 di 26 - Computational Social Sciences

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Networks of Echoes: Imitation, Innovation and Invisible Leaders is a mathematically rigorous and data rich book on a fascinating area of the science and engineering of social webs. There are hundreds of complex network phenomena whose statistical properties are described by inverse power laws. The phenomena of interest are not arcane events that we encounter only fleetingly, but are events that dominate our lives. We examine how this intermittent statistical behavior intertwines itself with what appears to be the organized activity of social groups. The book is structured as answers to a sequence of questions such as: How are decisions reached in elections and boardrooms How is the stability of a society undermined by zealots and committed minorities and how is that stability re-established Can we learn to answer such questions about human behavior by studying the way flocks of birds retain their formation when eluding a predator These questions and others are answered using a generic model of a complex dynamic network¿one whose global behavior is determined by a symmetric interaction among individuals based on social imitation. The complexity of the network is manifest in time series resulting from self-organized critical dynamics that have divergent first and second moments, are non-stationary, non-ergodic and non-Poisson. How phase transitions in the network dynamics influence such activity as decision making is a fascinating story and provides a context for introducing many of the mathematical ideas necessary for understanding complex networks in general. The decision making model (DMM) is selected to emphasize that there are features of complex webs that supersede specific mechanisms and need to be understood from a general perspective. This insightful overview of recent tools and their uses may serve as an introduction and curriculum guide in related courses.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 240 pp. Englisch.