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- W2898049050 abstract "The best attachment consists in finding a good strategy that allows a node inside a network to achieve a high rank. This is an open issue due to its intrinsic computational complexity and to the giant dimension of the involved networks. The ranking of a node has an important impact both in economics and structural term e.g., a higher rank could leverage the number of contacts or the trusting of the node. This paper presents a heuristics aiming at finding a good solution whose complexity is (Nlog {N}). The results show that better rank improvement comes by acquiring long distance in-links whilst human intuition would suggest to select neighbours. The paper discusses the algorithm and simulation on random and scale-free networks." @default.
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- W2898049050 date "2018-01-01" @default.
- W2898049050 modified "2023-09-23" @default.
- W2898049050 title "Climbing Ranking Position via Long-Distance Backlinks" @default.
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- W2898049050 doi "https://doi.org/10.1007/978-3-030-02738-4_9" @default.
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