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- Centrality abstract "In graph theory and network analysis, centrality of a vertex measures its relative importance within a graph. Applications include how influential a person is within a social network, how important a room is within a building (space syntax), and how well-used a road is within an urban network. There are four main measures of centrality: degree, betweenness, closeness, and eigenvector. Centrality concepts were first developed in social network analysis, and many of the terms used to measure centrality reflect their sociological origin.".
- Centrality thumbnail Centrality.svg?width=300.
- Centrality wikiPageExternalLink C10_Centrality.html.
- Centrality wikiPageExternalLink page_rank.py.
- Centrality wikiPageID "1462712".
- Centrality wikiPageRevisionID "605970088".
- Centrality hasPhotoCollection Centrality.
- Centrality subject Category:Algebraic_graph_theory.
- Centrality subject Category:Graph_algorithms.
- Centrality subject Category:Graph_theory.
- Centrality subject Category:Network_analysis.
- Centrality subject Category:Network_theory.
- Centrality subject Category:Networks.
- Centrality comment "In graph theory and network analysis, centrality of a vertex measures its relative importance within a graph. Applications include how influential a person is within a social network, how important a room is within a building (space syntax), and how well-used a road is within an urban network. There are four main measures of centrality: degree, betweenness, closeness, and eigenvector.".
- Centrality label "Centralidad".
- Centrality label "Centralidade".
- Centrality label "Centrality".
- Centrality sameAs Centralidad.
- Centrality sameAs 중심성.
- Centrality sameAs Centralidade.
- Centrality sameAs m.053hdt.
- Centrality sameAs Q5062194.
- Centrality sameAs Q5062194.
- Centrality wasDerivedFrom Centrality?oldid=605970088.
- Centrality depiction Centrality.svg.
- Centrality isPrimaryTopicOf Centrality.