EigenNetworksstat.ML
EigenNetworks approximate time-varying graphs as linear combinations of fixed eigennetworks.
problem Challenges in tracking large, time-varying networks.
method Approximate time-varying networks as weighted linear combinations of eigennetworks, estimated through Principal Network Analysis.
result Smooth eigentrajectories reveal underlying patterns and potential structural shifts in networks.