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: Learn about network transitivity in R with data from UK faculty dataset (2008)
  title info:
    title: Learn about network transitivity in R with data from United Kingdom faculty dataset (2008)
  name:
    name part: Shi, Feng
    name part: active 2019
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: statistics
  origin info:
    place:
      place term: enk
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: This dataset is designed for teaching the transitivity of networks. The dataset is a subset of data derived from the 2008 UK Faculty dataset, and the example computes the transitivity of the friendship network of the faculty of a UK university and compares it to the transitivity of random networks from the configuration model. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for R.
  target audience: specialized
  note: Feng Shi.
  subject:
    geographic code: e-uk---
  subject:
    topic: System analysis
    topic: Study and teaching
  subject:
    topic: R (Computer program language)
  subject:
    topic: Data sets
  subject:
    topic: Friendship
  subject:
    topic: Social networks
  subject:
    topic: Employees
    topic: Research
    geographic: Great Britain
  subject:
    topic: Cluster analysis
  subject:
    topic: Personnel management
    topic: Research
    geographic: Great Britain
  subject:
    topic: Datasets as Topic
  subject:
    topic: Friends
  subject:
    topic: Social Support
  subject:
    topic: Analyse de systèmes
    topic: Étude et enseignement
  subject:
    topic: R (Langage de programmation)
  subject:
    topic: Jeux de données
  subject:
    topic: Amitié
  subject:
    topic: Réseaux sociaux
  subject:
    topic: Personnel
    topic: Direction
    topic: Recherche
    geographic: Grande-Bretagne
  subject:
    topic: Classification automatique (Statistique)
  subject:
    topic: Cluster analysis
  subject:
    topic: Data sets
  subject:
    topic: Friendship
  subject:
    topic: R (Computer program language)
  subject:
    topic: Social networks
  subject:
    topic: System analysis
    topic: Study and teaching
  subject:
    geographic: Great Britain
  classification: QA402 .S55 2019
  classification: 003
  identifier: 9781526487681
  identifier: 1526487683
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 190116
    record change date: 20240923170335.9
    record identifier: in00005494791
    language of cataloging:
      language term: eng