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: Agent-Based Modelling of Social Networks in Labour–Education Market System
  name:
    name part: Tarvid, Alexander.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 92 p. 18 illus., 8 illus. in color. online resource.
  abstract: This book covers the modelling of human behaviour in the education and labour markets, which due to their interdependency are viewed as one system. Important factors influencing the decision-making of individuals and firms in this system are discussed. The role of social environment and networks is stressed. The approach of agent-based modelling is presented and compared with standard economic modelling and other simulation techniques in the context of modelling complex adaptive systems. Practical questions in building agent-based models of labour–education market system with social networks are discussed. These questions include modelling the structure of education system and agent behaviour there; modelling and calibrating the labour market without and with firms; generating the social network, defining its behaviour and calibrating it; and embedding the resulting system into a larger model.
  table of contents: Social Networks and Labour-Education Market System -- Complex Adaptive Systems and Agent-Based Modelling -- Using Agent-Based Modelling in Studying Labour-Education Market System.
  note: by Alexander Tarvid.
  subject:
    topic: Game theory
  subject:
    topic: Labor economics
  subject:
    topic: Economics
  subject:
    topic: Labor Economics
  subject:
    topic: Game Theory, Economics, Social and Behav. Sciences
  subject:
    topic: Data-driven Science, Modeling and Theory Building
  subject:
    topic: Applications of Graph Theory and Complex Networks
  classification: HD4801-8943
  classification: 331
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Complexity
  identifier: 9783319265391
  identifier: http://dx.doi.org/10.1007/978-3-319-26539-1
  record info:
    record creation date: 151127
    record change date: 20170519070448.0
    record identifier: 978-3-319-26539-1