2018
DOI: 10.1016/j.ins.2017.09.020
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Converting a network into a small-world network: Fast algorithms for minimizing average path length through link addition

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Cited by 40 publications
(6 citation statements)
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“…While the algorithm we have presented is much faster than the naive algorithm, it is unclear what the lower bound on the problem is. For example, the edge addition version of the problem has been solved in O(|V | 3 log |V |) time [15]. It is possible that either a faster algorithm is found or a hardness result proves the lower bound on the problem.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…While the algorithm we have presented is much faster than the naive algorithm, it is unclear what the lower bound on the problem is. For example, the edge addition version of the problem has been solved in O(|V | 3 log |V |) time [15]. It is possible that either a faster algorithm is found or a hardness result proves the lower bound on the problem.…”
Section: Discussionmentioning
confidence: 99%
“…Recently, a faster solution to the problem of finding a single edge whose addition minimizes the average shortest path length was published [15]. The work presented here tackles the inverse problem.…”
Section: Introductionmentioning
confidence: 99%
“…the closer to 1, the more efficient). The equation for the average path length calculation is (source: Gozzard et al [60])…”
Section: Methods and Softwarementioning
confidence: 99%
“…In this regard, our paper is related to graph augmentation models, which consider the problem of adding edges to a given graph, so that path lengths are reduced. For example, Meyerson and Tagiku [43] study how to add "shortcut edges" to minimize the average shortest path distances, Bilò et al [12] and Demaine and Zadimoghaddam [16] study how to augment a network to reduce its diameter, and there are several interesting results on how to add "ghost edges" to a graph such that it becomes (more) "small world" [25,45,46]. However, these edge additions can be optimized globally and in a biased manner, and hence do not form a matching.…”
Section: Related Workmentioning
confidence: 99%