加拿大最近一项研究发现，音乐的下载模式与传染病的流行曲线非常相似。
Dora Rosati, lead author of the study and former graduate in maths and statistics at McMaster University in Ontario, Canada along with colleagues, wondered whether they could learn anything about how songs become popular using mathematical tools that are more usually applied1 to study the spread of infectious diseases.
这项研究的主要作者是加拿大安大略省麦克马斯特大学数学和统计专业的多拉·罗萨蒂，他和他的同事们想知道，是否能用常用于研究流行病传播的数学工具来研究歌曲是如何流行起来的。
The team turned to a database of almost 1.4bn individual song downloads from the now-discontinued music streaming service MixRadio. Focusing on the top 1,000 songs downloaded in the UK between 2007 and 2014, they measured how well a standard model of epidemic2 disease, called the SIR model, fitted trends in song downloads over time.
这个团队以现已停产的音乐流媒体服务MixRadio中的近 14 亿首单曲下载量作为数据库，集中研究从2007年到2014年间在英国下载的前1000首歌曲，测量了流行病的标准模型（以下简称为 SIR 模型）与歌曲下载量随时间变化趋势的拟合程度。
The research, published in Proceedings3 of the Royal Society A: Mathematical and Physical Science
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