The North American Great Lakes contain about 95% of the fresh surface water supply for the United States and 20% for the world. Nearly one eighth of the population of the United States and one third of the population of Canada live within their drainage basins. Because of this concentration of population, the ice cover that forms on the Great Lakes each winter and its year‐to‐year variability affect the regional economy [Niimi, 1982]. Ice cover also affects the lake's abiotic environment and ecosystems [Vanderploeg et al., 1992] in addition to influencing summer hypoxia, lake effect snow inland, water level variability, and the overall hydrologic cycle of the region [Assel et al., 2004].

Several recent studies have focused on generating Internet topology graphs. Topology graphs have been used to predict growth patterns of prefixes and traffic flow as well as for designing better protocols. Internet topology graphs can be studied at either inter-domain level or router level. For some applications, inter-domain level topology graph is too coarse, while router level topology graph may be too fine-grained. We introduce cluster graphs as a way of modeling Internet topology at an intermediate level of granularity and compare it against inter-domain and router graphs.

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