Fig. 7From: Utilizing the simple graph convolutional neural network as a model for simulating influence spread in networksThis figure presents the results of examining the effect of the \(\alpha \) parameter used in Eq. 7 to the dataset of ’email-Eu-core’ [43, 44] part of the SNAP collection [45]. The different examinations a–d use the \(\alpha \) values of [0.25, 0.5, 0.75, 1.0]. The scenario of Fig. 6d) is used. An increase in the value allows the influence of the orange group to extent further until for very large values of k where the blue group nodes influence for large k gain influence without the long walk decay and their numerical advantage can be appliedBack to article page