Publications by authors named "David M Pennock"

Article Synopsis
  • Recent research shows that online search volume can not only track current events like unemployment and sales but also predict future consumer behavior, such as movie box-office earnings and music chart rankings.
  • Search query data enhances models based on other public data, significantly improving predictive accuracy in various contexts.
  • However, when evaluating flu trends, the predictive power of search data is found to be limited compared to simpler statistical models, suggesting its best use is in conjunction with other data sources.
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The Internet is an important source of health information. Thus, the frequency of Internet searches may provide information regarding infectious disease activity. As an example, we examined the relationship between searches for influenza and actual influenza occurrence.

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As a whole, the World Wide Web displays a striking "rich get richer" behavior, with a relatively small number of sites receiving a disproportionately large share of hyperlink references and traffic. However, hidden in this skewed global distribution, we discover a qualitatively different and considerably less biased link distribution among subcategories of pages-for example, among all university homepages or all newspaper homepages. Although the connectivity distribution over the entire web is close to a pure power law, we find that the distribution within specific categories is typically unimodal on a log scale, with the location of the mode, and thus the extent of the rich get richer phenomenon, varying across different categories.

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