Nowcasting Mobile Games Ranking Using Web Search Query Data

Author

Sekhavat, Yoones A.

Source

International Journal of Computer Games Technology

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-09-15

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Information Technology and Computer Science

Abstract EN

In recent years, the Internet has become embedded into the purchasing decision of consumers.

The purpose of this paper is to study whether the Internet behavior of users correlates with their actual behavior in computer games market.

Rather than proposing the most accurate model for computer game sales, we aim to investigate to what extent web search query data can be exploited to nowcast (contraction of “now” and “forecasting” referring to techniques used to make short-term forecasts) (predict the present status of) the ranking of mobile games in the world.

Google search query data is used for this purpose, since this data can provide a real-time view on the topics of interest.

Various statistical techniques are used to show the effectiveness of using web search query data to nowcast mobile games ranking.

American Psychological Association (APA)

Sekhavat, Yoones A.. 2016. Nowcasting Mobile Games Ranking Using Web Search Query Data. International Journal of Computer Games Technology،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1105599

Modern Language Association (MLA)

Sekhavat, Yoones A.. Nowcasting Mobile Games Ranking Using Web Search Query Data. International Journal of Computer Games Technology No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1105599

American Medical Association (AMA)

Sekhavat, Yoones A.. Nowcasting Mobile Games Ranking Using Web Search Query Data. International Journal of Computer Games Technology. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1105599

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1105599