Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.5555/1719850.1719893guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Efficient measurement of complex networks using link queries

Published: 19 April 2009 Publication History

Abstract

Complex networks are at the core of an intense research activity. However, in most cases, intricate and costly measurement procedures are needed to explore their structure. In some cases, these measurements rely on link queries: given two nodes, it is possible to test the existence of a link between them. These tests may be costly, and thus minimizing their number while maximizing the number of discovered links is a key issue. This paper studies this problem: we observe that properties classically observed on real-world complex networks give hints for their efficient measurement; we derive simple principles and several measurement strategies based on this, and experimentally evaluate their efficiency on real-world cases. In order to do so, we introduce methods to evaluate the efficiency of strategies. We also explore the bias that different measurement strategies may induce.

References

[1]
B. Wellman, "The network is personal: Introduction to a special issue of social networks," Social Networks, vol. 29, no. 3, pp. 349-356, July 2007.
[2]
M. Bouvel, V. Grebinski, and G. Kucherov, "Combinatorial search on graphs motivated by bioinformatics applicatitons: a brief survey," in Proceedings of the 31st International Workshop on Graph-Theoretic Concepts in Computer Science, ser. Lecture Notes in Computer Science, D. Kratsch, Ed., vol. 3787. Springer Verlag, 2005, pp. 16-27.
[3]
N. Guelzim, S. Bottani, P. Bourgine, and F. Kepes, "Topological and causal structure of the yeast transcriptional regulatory network," Nature Genetics, vol. 31, no. 1, pp. 60-63, May 2002.
[4]
A. Lakhina, J. Byers, M. Crovella, and P. Xie, "Sampling biases in ip topology measurements," in IEEE Infocom, 2003.
[5]
D. Achlioptas, A. Clauset, D. Kempe, and C. Moore, "On the bias of traceroute sampling," in ACM STOC, 2005.
[6]
J.-L. Guillaume and M. Latapy, "Relevance of massively distributed explorations of the internet topology: simulation results," in IEEE Infocom, 2005.
[7]
M. Latapy and C. Magnien, "Complex network measurements: Estimating the relevance of observed properties," in IEEE Infocom, 2008.
[8]
D. Stutzbach, R. Rejaie, N. G. Duffield, S. Sen, and W. Willinger, "Sampling techniques for large, dynamic graphs," in IEEE Infocom, 2006.
[9]
D. Stutzbach, R. Rejaie, N. G. Duffield, S. Sen, and W. Willinger, "On unbiased sampling for unstructured peer-to-peer networks," in IMC, 2006.
[10]
L. Dall'Asta, J. Alvarez-Hamelin, A. Barrat, A. Vazquez, and A. Vespignani, "A statistical approach to the traceroute-like exploration of networks: theory and simulations," in CAAN, 2004.
[11]
A. Clauset, C. Moore, and M. Newman, "Hierarchical structure and the prediction of missing links in networks," Nature, vol. 453, no. 7191, pp. 98-101, May 2008.
[12]
D. Liben-nowell and J. Kleinberg, "The link prediction problem for social networks," Journal of the American Society for Information Science and Technology, vol. 58, no. 7, pp. 1019-1031, 2007.
[13]
D. Watts and S. Strogatz, "Collective dynamics of small-world networks," Nature, vol. 393, 1998.
[14]
T. Schank and D. Wagner, "Finding, counting and listing all triangles in large graphs, an experimental study," in Workshop on Experimental and Efficient Algorithms (WEA), 2005.
[15]
T. Schank and D. Wagner, "Approximating clustering coefficient and transitivity," Journal of Graph Algorithms and Applications (JGAA), vol. 9:2, pp. 265-275, 2005.
[16]
C. Prieur, D. Cardon, J.-S. Beuscart, N. Pissard, and P. Pons, "The stength of weak cooperation: A case study on flickr," 2008, http://arxiv. org/abs/0802.2317.

Cited By

View all
  • (2018)Graph Reconstruction and VerificationACM Transactions on Algorithms10.1145/319960614:4(1-30)Online publication date: 9-Aug-2018

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings
INFOCOM'09: Proceedings of the 28th IEEE international conference on Computer Communications Workshops
April 2009
418 pages
ISBN:9781424439683

Publisher

IEEE Press

Publication History

Published: 19 April 2009

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 09 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2018)Graph Reconstruction and VerificationACM Transactions on Algorithms10.1145/319960614:4(1-30)Online publication date: 9-Aug-2018

View Options

View options

Get Access

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media