Prediction of the Popularity from Google Trends Using Stationary Control: The Case of STM Publishers
Authors: Poulos, Marios 
Papavlasopoulos, Sozon 
Kapidakis, Sarantos 
Issue Date: 1-Aug-2017
Conference: 4th International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) 
Volume: 2018-January
Keywords: Google trends, Stationarity, STM publishers, Time series
Abstract: 
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.
ISBN: 9781538628201
DOI: 10.1109/MCSI.2017.62
URI: https://uniwacris.uniwa.gr/handle/3000/781
Type: Conference Paper
Department: Department of Archival, Library and Information Studies 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Conference Papers or Poster or Presentation / Δημοσιεύσεις σε Συνέδρια

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