Statistical properties of sampled networks
2006 (English)In: Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, ISSN 1063-651X, E-ISSN 1095-3787, Vol. 73, no 016102Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
2006. Vol. 73, no 016102
IdentifiersURN: urn:nbn:se:umu:diva-37765DOI: 10.1103/PhysRevE.73.016102OAI: oai:DiVA.org:umu-37765DiVA: diva2:369925