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: gw
    date issued: 2017
    edition: 2nd ed. 2017.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXXVI, 607 p. 59 illus., 21 illus. in color. online resource.
  abstract: This indispensable textbook/reference provides a comprehensive and reader-friendly introduction to the emerging field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated and expanded new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas and further explore the concepts. Topics and features: Contains more than a thousand problem questions and exercises, together with a list of acronyms and a glossary of terms Presents an introduction to the main areas, core concepts, and historical development of CSS, providing examples of a range of CSS investigations Examines the key similarities and differences between computers and social systems, from an information-processing perspective Presents a focus on automated information extraction, beginning with its roots in linguistics Introduces the fundamental elements of social network analysis, and computational approaches to analyzing social complexity Discusses the measurement, scientific laws, and generative theories of social complexity in CSS Reviews the methodology of social simulations, covering in detail both variable-oriented and object-oriented models 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. Dr. Claudio Cioffi-Revilla is University Professor and Professor of Computational Social Science, founding and former Chair of the Department of Computational Social Science, and founding and current Director of the Center for Social Complexity at G…
  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: 9783319501314
  identifier: http://dx.doi.org/10.1007/978-3-319-50131-4
  record info:
    record creation date: 170629
    record change date: 20170629164127.0
    record identifier: 978-3-319-50131-4