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Abstract In this work, we use rigorous probabilistic methods to study the asymptotic degree distribution, clustering coefficient, and diameter of geographical attachment networks. As a type of small-world network model,… Click to show full abstract
Abstract In this work, we use rigorous probabilistic methods to study the asymptotic degree distribution, clustering coefficient, and diameter of geographical attachment networks. As a type of small-world network model, these networks were first proposed in the physical literature, where they were analyzed only with heuristic arguments and computational simulations.
Keywords:
world effect;
geographical attachment;
small world;
attachment networks
Journal Title: Probability in the Engineering and Informational Sciences
Year Published: 2021
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Journal Title: Probability in the Engineering and Informational Sciences
Year Published: 2021
Link to full text (if available)
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recommendations!