Wikipedia article access logs have been used for a modest
variety of research. The most common application is detection and
measurement of popular news topics or events [13–17]. The data
have also been used to study the dynamics of Wikipedia itself [18–
20]. Social applications include evaluating toponym importance in
order to make type size decisions for maps [21], measuring the
flow of concepts across the world [22], and estimating the
popularity of politicians and political parties [23]. Finally,
economic applications include attempts to forecast movie ticket
sales [24] and stock prices [25]. The latter two applications are of
particular interest because they include a forecasting component,
as the present work does.