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Computational Social Networks
Fig. 5 | Computational Social Networks

Fig. 5

From: Utilizing the simple graph convolutional neural network as a model for simulating influence spread in networks

Fig. 5

A single very influential node and a peripheral node represent a third group member in the Zachary Karate Club network to see if their influence can dominate nodes. Here, we can see the cumulative iteration applied of Eq. 7 (using the Zachary network) and how node ’1’ and ’27’ can spread their influence as the neighborhood of interaction increases. a The proportion of nodes per group and how one group identity ceases to exist, but the third group can grow and become stable. b The specific node changes along k. c The number of the changes to the group memberships over k. d The network diagram of the Zachary Karate Club, and the class membership labels allocated from the simulation at the final step

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