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Predicting Triadic Closure in Networks Using Communicability Distance Functions

Predicting Triadic Closure in Networks Using Communicability Distance Functions

We propose a communication-driven mechanism for predicting triadic closure in complex networks. It is mathematically formulated on the basis of communicability distance functions that account for the quality of communication between nodes in the network. We study $25$ real-world networks and show that the proposed method correctly predicts $20\%$ of …