Fig. 7From: The risk of node re-identification in labeled social graphsGraph vulnerability over the series of epidemic graphs under SI model. During each infection step, a susceptible node becomes infected with probability β if in contact with an infected node. a,e the rate of infection; b,fp – diversity ratio which measures the proportion of nodes with one binary attribute value; c,g τ – estimated value of homophily observed in the network; and d,h the T-statistic value between prediction scores of GS(LBL) and GS. T-statistic values show how the extra vulnerability due to binary attributes changes over iterations of the epidemic processBack to article page