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: Introduction to Computational Social Science
    sub title: Principles and Applications
  name:
    name part: Cioffi-Revilla, Claudio.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXXIII, 320 p. 59 illus., 21 illus. in color. online resource.
  abstract: The emerging field of computational social science (CSS) is devoted to the pursuit of interdisciplinary social science research from an information processing perspective, through the medium of advanced computing and information technologies. This reader-friendly textbook/reference is the first work of its kind to provide a comprehensive and unified Introduction to Computational Social Science. Four distinct methodological approaches are examined in particular detail, namely automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. The coverage of each of these approaches is supported by a discussion of the historical context and motivations, as well as by a list of recommended texts for further reading. Topics and features: Describes the scope and content of each area of CSS, covering topics on information extraction, social networks, complexity theory, and social simulations Highlights the main theories of the CSS paradigm as causal explanatory frameworks that shed new light on the nature of human and social dynamics Explains how to distinguish and analyze the different levels of analysis of social complexity using computational approaches Discusses a number of methodological tools, including extracting entities from text, computing social network indices, and building an agent-based model Presents the main classes of entities, objects, and relations common to the computational analysis of social complexity Examines the interdisciplinary integration of knowledge in the context of social phenomena This unique, clearly-written textbook is essential reading for graduate and advanced undergraduate students planning on embarking on a course on computational social science, or wishing to refresh their knowledge of the fundamental aspects of this exciting field.
  table of contents: Introduction -- Computation and Social Science -- Automated Information Extraction -- Social Networks -- Social Complexity I: Origins and Measurement -- Social Complexity II: Laws -- Social Complexity III: Theories -- Simulations I: Methodology -- Simulations II: Variable-Oriented Models -- Simulations III: Object-Oriented Models.
  note: by Claudio Cioffi-Revilla.
  subject:
    topic: Computer science
  subject:
    topic: Data mining
  subject:
    topic: Computer simulation
  subject:
    topic: Application software
  subject:
    topic: Graph theory
  subject:
    topic: Social sciences
  subject:
    topic: Computer Science
  subject:
    topic: Computer Appl. in Social and Behavioral Sciences
  subject:
    topic: Methodology of the Social Sciences
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Graph Theory
  subject:
    topic: Simulation and Modeling
  classification: QA76.76.A65
  classification: 004
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Texts in Computer Science
  identifier: 9781447156611
  identifier: http://dx.doi.org/10.1007/978-1-4471-5661-1
  record info:
    record creation date: 131231
    record change date: 20151204152225.0
    record identifier: 978-1-4471-5661-1