Table 1 Describes the networks’ structural properties, where V represents the number of vertices, E represents the number of edges, \(Gc_V\%\) and \(Gc_E\%\) denote the percentage of vertices and edges in the giant component, respectively, \(\langle k \rangle \) represents the average node degree, \(\beta _{th}\) indicates the epidemic threshold of a network as measured by largest eigenvalue, \(p_c\) is the percolation threshold, given by Eq. (4), and \(tune_1\) and \(tune_2\) denote the best tunable parameters selected for the proposed ngsc method.

From: Best influential spreaders identification using network global structural properties