rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Networks of Echoes
    sub title: Imitation, Innovation and Invisible Leaders
  name:
    name part: West, Bruce J.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Turalska, Malgorzata.
    role:
      role term: author.
  name:
    name part: Grigolini, Paolo.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 225 p. 86 illus., 1 illus. in color. online resource.
  abstract: 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.
  table of contents: Networking Perspective -- Complexity Primer -- A Model of Decision Making -- Criticality and Crowds -- Networks of Influence -- Critical Networks.
  note: by Bruce J. West, Malgorzata Turalska, Paolo Grigolini.
  subject:
    topic: Physics
  subject:
    topic: Application software
  subject:
    topic: Game theory
  subject:
    topic: Sociophysics
  subject:
    topic: Econophysics
  subject:
    topic: Social sciences
  subject:
    topic: Physics
  subject:
    topic: Complex Networks
  subject:
    topic: Methodology of the Social Sciences
  subject:
    topic: Socio- and Econophysics, Population and Evolutionary Models
  subject:
    topic: Computer Appl. in Social and Behavioral Sciences
  subject:
    topic: Game Theory, Economics, Social and Behav. Sciences
  classification: QC1-QC999
  classification: 621
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Computational Social Sciences
  identifier: 9783319048796
  identifier: http://dx.doi.org/10.1007/978-3-319-04879-6
  record info:
    record creation date: 140403
    record change date: 20151202031123.0
    record identifier: 978-3-319-04879-6