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International audienceThe 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. Thismeasurement may in first approximation be modeled by a BFS (Breadth-First Search) tree. Weexplore here our ability to infer the type (Poisson or power-law) of the degree distribution fromsuch a limited knowledge. We design procedures which estimate the degree distribution of a graphfrom a BFS of it, and show experimentally (on models and real-world data) that this approachsucceeds in making the difference between Poisson and power-law degree distributions

Deciding on the Type of the Degree Distribution of a Graph from Traceroute-like Measurements