I will discuss some of the main problems and challenges associated with measuring, inferring, and modeling various types of Internet-related connectivity structures. To this end, I will use some known examples to illustrate the need to (i) understand the process by which Internet connectivity measurements are obtained, (ii) explore the sensitivity of inferred graph properties to known ambiguities in the data, and (iii) to be more serious/ambitious when it comes to model validation. Ignoring any of these issues is bound to produce results that are best described by the well-known aphorism "lies, damned lies, and statistics."
Audio (MP3 File, Podcast Ready)
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