Statistical properties of sampled networks

Details Statistical properties of sampled networks Statistical properties of sampled networks

2005-05-10

arxiv.org/abs/cond-mat/0505232v4

Phys. Rev. E 73, 016102 (2006)

Physics

Condensed Matter

Disordered Systems and Neural Networks

8 pages, 11 figures

Scientific paper

10.1103/PhysRevE.73.016102

We study the statistical properties of the sampled scale-free networks, deeply related to the proper identification of various real-world networks. We exploit three methods of sampling and investigate the topological properties such as degree and betweenness centrality distribution, average path length, assortativity, and clustering coefficient of sampled networks compared with those of original networks. It is found that the quantities related to those properties in sampled networks appear to be estimated quite differently for each sampling method. We explain why such a biased estimation of quantities would emerge from the sampling procedure and give appropriate criteria for each sampling method to prevent the quantities from being overestimated or underestimated.

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