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Complex networks are at the core of an intense research activity. However, in most cases, intricate and costly measurement procedures are needed to explore their structure. In some cases, these measurements rely on link queries: given two nodes, it is possible to test the existence of a link between them. These tests may be costly, and thus minimizing their number while maximizing the number of discovered links is a key issue. This paper studies this problem: The authors observe that properties classically observed on real-world complex networks give hints for their efficient measurement; they derive simple principles and several measurement strategies based on this, and experimentally evaluate their efficiency on real-world cases.
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