Deciding on the type of a graph from a BFS

Xiaomin Wang 1 Matthieu Latapy 2 Michèle Soria 1
1 APR - Algorithmes, Programmes et Résolution
LIP6 - Laboratoire d'Informatique de Paris 6
2 ComplexNetworks
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : The degree distribution of the Internet topology is considered as one of its main properties. However, it is only known through a measurement procedure which gives a biased estimate. This measurement may in first approximation be modeled by a BFS (Breadth-First Search) tree. We explore here our ability to infer the type (Poisson or power-law) of the degree distribution from such a limited knowledge. We design procedures which estimate the degree distribution of a graph from a BFS of it, and show experimentally (on models and real-world data) that this approach succeeds in making the difference between Poisson and power-law graphs.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01288795
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Submitted on : Tuesday, March 15, 2016 - 4:08:32 PM
Last modification on : Thursday, March 21, 2019 - 2:41:59 PM

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Xiaomin Wang, Matthieu Latapy, Michèle Soria. Deciding on the type of a graph from a BFS. Workshop on Complex Networks CompleNet 2010, Oct 2010, Rio de Janeiro, Brazil. pp.68-74, ⟨10.1007/978-3-642-25501-4_7⟩. ⟨hal-01288795⟩

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