This HTML5 document contains 16 embedded RDF statements represented using HTML+Microdata notation.

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Namespace Prefixes

PrefixIRI
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n10https://towardsdatascience.com/graph-analytics-introduction-and-concepts-of-centrality-8f5543b55de3#

Statements

Subject Item
n2:this
schema:description
Measures the importance of a node in a graph based on the the importance of its neighbors. For instance, in a Social Network, the nature of an Influencer depends on how many people they influence — where influence depends on the total size of their audience rather than individual connection count, i.e., rather than catering to a Star-Network with many unconnected low-audience followers, you end up with an Influence-Network comprising a few nodes that each connect to a large-audience follower.
wdrs:describedby
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schema:name
Eigen Vector Centrality
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skos:inScheme
n16:this
skos:prefLabel
EVC
skos:altLabel
Eigencentrality
skos:broader
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n5: n10: n11: n12:
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dbpedia:Eigenvector_centrality
rdf:type
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