Prediction of the Popularity from Google Trends Using Stationary Control: The Case of STM Publishers

Time series on search queries for five (5) of the most popular publishing houses are extracted through Google Trends and analyzed. These include popularity trends for Springer, Elsevier, Sage, Wiley and Emerald. The stationarity feature of the time series is established and some preliminary inferences are drawn. Through this analysis the online behavior of scholars around the world towards the STM publishers is initially revealed; while the STM publishers included in the analysis have been grouped into two distinct popularity clusters.