Abstract
We investigate a metric parameter “Leanness” of graphs which is a formalization of a well-known Fellow Travelers Property present in some metric spaces. Given a graph \(G=(V,E)\), the leanness of G is the smallest \(\lambda \) such that, for every pair of vertices \(x,y\in V\), all shortest (x, y)-paths stay within distance \(\lambda \) from each other. We show that this parameter is bounded for many structured graph classes and is small for many real-world networks. We present efficient algorithms to compute or estimate this parameter and evaluate the performance of our algorithms on a number of real-world networks.
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Notes
- 1.
This is known (see, e.g., [6]) also under the name \(\lambda \)-thin interval, but to differentiate graph thinness parameter based on the thinness of geodesic triangles from the graph thinness based on thinness of intervals, we use here the word lean.
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Mohammed, A.O., Dragan, F.F., Guarnera, H.M. (2022). Fellow Travelers Phenomenon Present in Real-World Networks. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications X. COMPLEX NETWORKS 2021. Studies in Computational Intelligence, vol 1072. Springer, Cham. https://doi.org/10.1007/978-3-030-93409-5_17
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