Predicting Virtual World User Population Fluctuations with Deep Learning
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Abstract
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DOI: 10.1371/journal.pone.0167153
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References listed on IDEAS
- Mryglod, O. & Fuchs, B. & Szell, M. & Holovatch, Yu. & Thurner, S., 2015. "Interevent time distributions of human multi-level activity in a virtual world," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 681-690.
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Cited by:
- Young Bin Kim & Jurim Lee & Nuri Park & Jaegul Choo & Jong-Hyun Kim & Chang Hun Kim, 2017. "When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
- Young Bin Kim & Kyeongpil Kang & Jaegul Choo & Shin Jin Kang & TaeHyeong Kim & JaeHo Im & Jong-Hyun Kim & Chang Hun Kim, 2017. "Predicting the Currency Market in Online Gaming via Lexicon-Based Analysis on Its Online Forum," Complexity, Hindawi, vol. 2017, pages 1-10, December.
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