Fig. 6
From: Probabilistic network sparsification with ego betweenness
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 a–c the brain network with \(\alpha = 0.55\), d–f the FriendFeed network with \(\alpha = 0.1\), and g–i the Enron network with \(\alpha = 0.65\). In the MST/MC backboning method \(\alpha ' = 0.5\alpha\)