Skip to main content
Fig. 6 | Applied Network Science

Fig. 6

From: Probabilistic network sparsification with ego betweenness

Fig. 6

Impact of density and backboning methods on sparsification–real data: Relative entropy (column one), mean relative error of expected degree (column two) and mean relative error of expected ego betweenness (column three) after sparsification of ac the brain network with \(\alpha = 0.55\), df the FriendFeed network with \(\alpha = 0.1\), and gi the Enron network with \(\alpha = 0.65\). In the MST/MC backboning method \(\alpha ' = 0.5\alpha\)

Back to article page