摘要 網絡 science has increasingly become central to the

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論文資訊

• 類型：已發表論文
• 日期：2022-11-22

摘要

網絡 science has increasingly become central to the field of 流行病學 and our ability to respond to infectious 疾病 threats. However, many 網絡s derived from modern datasets are not just large, but dense, with a high ratio of edges to nodes. This includes human mobility 網絡s where most locations have a large number of links to many other locations. Simulating large-scale 流行病學cs requires substantial 計算 resources and in many cases is practically infeasible. One way to reduce the 計算 cost of simulating 流行病學cs on these 網絡s is sparsification, where a representative subset of edges is selected based on some measure of their importance. We test several sparsification strategies, ranging from naive thresholding to random sampling of edges, on mobility data from the U.S. Following recent work in computer scien

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