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Statistical properties of sampled networks
Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea.
2006 (English)In: Physical Review E. Statistical, Nonlinear, and Soft Matter Physics: Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, ISSN 1063-651X, E-ISSN 1095-3787, Vol. 73, no 016102Article in journal (Refereed) Published
Abstract [en]

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
Identifiers
URN: urn:nbn:se:umu:diva-37765DOI: 10.1103/PhysRevE.73.016102OAI: oai:DiVA.org:umu-37765DiVA: diva2:369925
Available from: 2010-11-12 Created: 2010-11-12 Last updated: 2017-12-12Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf