Which centrality measures handle valued data?

Post date: Jun 17, 2014 2:26:30 PM

The measures that understand values are eigenvector, beta centrality (aka Bonacich Power), Hubbell, Katz, PN, flow betweenness, simple degree, information centrality and political independence.

Degree and eigenvector can be described as two poles of a family that includes beta centrality, Hubbell, and Katz. Of these, beta centrality is the easiest to work with in UCINET. Note that if you set beta to zero you get degree, and if you set beta to be very close to the reciprocal of the principal eigenvalue of your matrix, you get eigenvector.