Login The Centiserver on OMICTools |
Bayesian CentralityDefinition
This model extends the popular eigenvector-based measure by
considering centralities as latent attributes that are constrained by the eigenvector
centrality relation. By treating centrality estimation as probabilistic latent
variable inference, this approach directly addresses the problem of uncertainty
when inferring node importance and permits principled assimilation of repeated
weight observations.
Requirements
SoftwareReferences
|