@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix isothes: <http://purl.org/iso25964/skos-thes#> .

<https://concepts.sagepub.com/social-science/concept/social_network_analysis>
  skos:prefLabel "social network analysis"@en ;
  a skos:Concept ;
  skos:narrower <https://concepts.sagepub.com/social-science/concept/random_graph_models> .

<https://concepts.sagepub.com/social-science/concept/conceptgroup/concepts>
  a skos:Collection, isothes:ConceptGroup ;
  skos:prefLabel "concepts"@en ;
  skos:member <https://concepts.sagepub.com/social-science/concept/random_graph_models> .

<https://concepts.sagepub.com/social-science/concept/random_graph_models>
  skos:definition "Social network analysis derives much of its quantitative rigor from graph theory, an area of mathematics that studies objects (nodes) and the relationships or connections between these nodes (edges). Graph theory can be used to understand the underlying structure of a social network, and one approach is by the use of random graph models. [Source: <a href=\"https://sk.sagepub.com/reference/socialnetworks/n302.xml\" target=\"_blank\" data-id=\"to-sk\">Encyclopedia of Social Networks; Random Graph Models</a>]"@en ;
  skos:broader <https://concepts.sagepub.com/social-science/concept/social_network_analysis> ;
  skos:prefLabel "random graph models"@en ;
  a skos:Concept .