(Enter summary)
Abstract: Considerable attention has been focused on the
properties of graphs derived from Internet measurements.
Router-level topologies collected via traceroute-like methods have
led some to conclude that the router graph of the Internet is
well modeled as a power-law random graph. In such a graph,
the degree distribution of nodes follows a distribution with a
power-law tail. (Update)
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BibTeX entry: (Update)
A. Lakhina, J. Byers, M. Crovella, and P. Xie, "Sampling Biases in IP Topology Measurements," Boston University Computer Science, Tech. Rep. BUCS-TR-2002-021, July 2002. http://citeseer.ist.psu.edu/lakhina03sampling.html More
@misc{ lakhina02sampling,
author = "A. Lakhina and J. Byers and M. Crovella and P. Xie",
title = "Sampling Biases in IP Topology Measurements",
text = "A. Lakhina, J. Byers, M. Crovella, and P. Xie, Sampling Biases in IP Topology
Measurements, Boston University Computer Science, Tech. Rep. BUCS-TR-2002-021,
July 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/lakhina03sampling.html" }
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Sampling Biases in IP Topology Measurements
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