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Virtual World Currency Value Fluctuation Prediction System Based on User Sentiment Analysis.

Kim YB, Lee SH, Kang SJ, Choi MJ, Lee J, Kim CH - PLoS ONE (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Interdisciplinary Program in Visual Information Processing, Korea University, Seoul, Korea.

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.

No MeSH data available.


Related in: MedlinePlus

Tracking emotional relevance with the EVE Online actual update.
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pone.0132944.g003: Tracking emotional relevance with the EVE Online actual update.

Mentions: To compare the mutual interactions between the sentimental analysis results and events happening in the virtual world, we normalized values to z-scores on the basis of a local mean and standard deviation to the degree of the sliding window of k days before and after a particular date. Such normalization was established so that all time series fluctuate around a zero mean and are expressed on a scale of one standard deviation. We executed sentimental analysis for the month-long data throughout December 2014 for the EVE Online community[71] and normalized the result value as a z-score. We examined the relevance with the date when the actual update occurred. We identified the occurrence of general sentiment changes in the community for events that occurred in the virtual world, such as game update notices, major updates, and virtual world server-down notifications (see Fig 3.).


Virtual World Currency Value Fluctuation Prediction System Based on User Sentiment Analysis.

Kim YB, Lee SH, Kang SJ, Choi MJ, Lee J, Kim CH - PLoS ONE (2015)

Tracking emotional relevance with the EVE Online actual update.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4524693&req=5

pone.0132944.g003: Tracking emotional relevance with the EVE Online actual update.
Mentions: To compare the mutual interactions between the sentimental analysis results and events happening in the virtual world, we normalized values to z-scores on the basis of a local mean and standard deviation to the degree of the sliding window of k days before and after a particular date. Such normalization was established so that all time series fluctuate around a zero mean and are expressed on a scale of one standard deviation. We executed sentimental analysis for the month-long data throughout December 2014 for the EVE Online community[71] and normalized the result value as a z-score. We examined the relevance with the date when the actual update occurred. We identified the occurrence of general sentiment changes in the community for events that occurred in the virtual world, such as game update notices, major updates, and virtual world server-down notifications (see Fig 3.).

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Interdisciplinary Program in Visual Information Processing, Korea University, Seoul, Korea.

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.

No MeSH data available.


Related in: MedlinePlus