Question: [Python and Sage Question] All computations should use the SageMath 9.0 kernel. However, you are free to mix Python and Sage functionality in your code.

[Python and Sage Question]

All computations should use the SageMath 9.0 kernel. However, you are free to mix Python and Sage functionality in your code.

[Python and Sage Question] All computations should use the SageMath 9.0 kernel.

Problem 5: Modeling the Internet graph Grading criteria: thoughtfulness of responses. No code required! The (undirected) Internet graph (at a given point in time) is the graph whose vertices represent individual pages on the World Wide Web, with an edge between two vertices if one of the corresponding pages4 includes a link to the other. a. Give a specific argument against using the output of graphs. RandomGNP as a model for the Internet graph. That is, describe a typical feature of such a graph that is not shared by the Internet graph, or vice versa. (Keep in mind that your argument should work against any choice of parameter values; you may give separate arguments that apply to different parameter ranges.) In [ ]: b. Repeat for the function graphs. RandomGNM. In [ ]: C. Repeat for the function graphs. RandomRegular. In [ ]: Problem 5: Modeling the Internet graph Grading criteria: thoughtfulness of responses. No code required! The (undirected) Internet graph (at a given point in time) is the graph whose vertices represent individual pages on the World Wide Web, with an edge between two vertices if one of the corresponding pages4 includes a link to the other. a. Give a specific argument against using the output of graphs. RandomGNP as a model for the Internet graph. That is, describe a typical feature of such a graph that is not shared by the Internet graph, or vice versa. (Keep in mind that your argument should work against any choice of parameter values; you may give separate arguments that apply to different parameter ranges.) In [ ]: b. Repeat for the function graphs. RandomGNM. In [ ]: C. Repeat for the function graphs. RandomRegular. In [ ]

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