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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.

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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. (en)
described by
name
  • Eigen Vector Centrality
image
  • http://djjr-courses.wikidot.com/local--files/soc180:images/eigenvector-07.gif
is in scheme
name
  • EVC
name
  • Eigencentrality
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has related
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