Virtual world currency value fluctuation prediction system based on user sentiment analysis

Young Bin Kim, Sang Hyeok Lee, Shin Jin Kang, Myung Jin Choi, Jung Lee, Chang-Hun Kim

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

In this paper, we present a method for predicting the value of virtual currencies used in virtual gaming environments that support multiple users, such as massively multiplayer online role-playing games (MMORPGs). Predicting virtual currency values in a virtual gaming environment has rarely been explored; it is difficult to apply real-world methods for predicting fluctuating currency values or shares to the virtual gaming world on account of differences in domains between the two worlds. To address this issue, we herein predict virtual currency value fluctuations by collecting user opinion data from a virtual community and analyzing user sentiments or emotions from the opinion data. The proposed method is straightforward and applicable to predicting virtual currencies as well as to gaming environments, including MMORPGs. We test the proposed method using large-scale MMORPGs and demonstrate that virtual currencies can be effectively and efficiently predicted with it.

Original languageEnglish
Article numbere0132944
JournalPLoS One
Volume10
Issue number8
DOIs
Publication statusPublished - 2015 Aug 4

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Role Playing
Virtual reality
prediction
emotions
methodology
Emotions
testing

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Virtual world currency value fluctuation prediction system based on user sentiment analysis. / Kim, Young Bin; Lee, Sang Hyeok; Kang, Shin Jin; Choi, Myung Jin; Lee, Jung; Kim, Chang-Hun.

In: PLoS One, Vol. 10, No. 8, e0132944, 04.08.2015.

Research output: Contribution to journalArticle

Kim, Young Bin ; Lee, Sang Hyeok ; Kang, Shin Jin ; Choi, Myung Jin ; Lee, Jung ; Kim, Chang-Hun. / Virtual world currency value fluctuation prediction system based on user sentiment analysis. In: PLoS One. 2015 ; Vol. 10, No. 8.
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