Statistical properties of sampled networks

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.
Publisher
AMER PHYSICAL SOC
Issue Date
2006-01
Language
ENG
Keywords

SCALE-FREE NETWORKS; COMPLEX NETWORKS; CENTRALITY; INTERNET; EVOLUTION; TOPOLOGY; ATTACK; LAW

Citation

PHYSICAL REVIEW E, v.73, pp.194 - 204

ISSN
1539-3755
DOI
10.1103/PhysRevE.73.016102
URI
http://hdl.handle.net/10203/2266
Appears in Collection
PH-Journal Papers(저널논문)
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