The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Statistical properties of sampled networks
Open accessAbstract
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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Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
Statistical mechanics of complex networks
Albert, R., & Barabási, A.-L. (2002) · Reviews of Modern Physics · doi:10.1103/revmodphys.74.47 · Cited by 20,471
The Structure and Function of Complex Networks
Newman, M. E. J. (2003) · SIAM Review · doi:10.1137/s003614450342480 · Cited by 18,719
Community structure in social and biological networks
Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534
Self-citationNewman (2005) · doi:10.1080/00107510500052444 · Cited by 5,749
Erdős, P., & Rényi, A. (2022) · Publicationes Mathematicae Debrecen · doi:10.5486/pmd.1959.6.3-4.12 · Cited by 5,337
Lethality and centrality in protein networks
Jeong, H., Mason, S. P., Barabási, A.-L., & Oltvai, Z. N. (2001) · Nature · doi:10.1038/35075138 · Cited by 5,287
Self-citationAssortative Mixing in Networks
Newman, M. E. J. (2002) · Physical Review Letters · doi:10.1103/physrevlett.89.208701 · Cited by 4,988
Cited by
Measurement and analysis of online social networks
Mislove, A., Marcon, M., Gummadi, K. P., Druschel, P., & Bhattacharjee, B. (2007) · Proceedings of the 7th ACM SIGCOMM conference on Internet measurement · doi:10.1145/1298306.1298311 · Cited by 3,057
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory
van Wijk, B. C. M., Stam, C. J., & Daffertshofer, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013701 · Cited by 1,161
Analysis of topological characteristics of huge online social networking services
Ahn, Y.-Y., Han, S., Kwak, H., Moon, S., & Jeong, H. (2007) · Proceedings of the 16th international conference on World Wide Web · doi:10.1145/1242572.1242685 · Cited by 937
Self-citationBaggio, R., Scott, N., & Cooper, C. (2010) · Annals of Tourism Research · doi:10.1016/j.annals.2010.02.008 · Cited by 366
The scaling of human interactions with city size
Schläpfer, M., Bettencourt, L. M. A., Grauwin, S., Raschke, M., Claxton, R., Smoreda, Z., West, G. B., & Ratti, C. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2013.0789 · Cited by 356
Metadata
- Authors
- Lee, S. H., Kim, P.-J., & Jeong, H.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2006-01-04
- Volume
- 73
- Issue
- 1
- Pages
- 016102-016102
- ISSN
- 1539-3755 (ISSN-L)
- 1550-2376
- OpenAlex
- W2028897509
- Cited by
- 440
- References
- 36
- FWCI
- 12.68
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
