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http://dx.doi.org/10.7583/JKGS.2019.19.4.27

An Analysis of Game Strategy and User Behavior Pattern Using Big Data: Focused on Battlegrounds Game  

Kang, Ha-Na (Graduate School of Interaction Design, Hallym University)
Yong, Hye-Ryeon (Graduate School of Interaction Design, Hallym University)
Hwang, Hyun-Seok (Dept. of Business Administration of Business, Hallym University)
Publication Information
Journal of Korea Game Society / v.19, no.4, 2019 , pp. 27-36 More about this Journal
Abstract
Approaches to find hidden values using various and enormous amount of data are on the rise. As big data processing becomes easier, companies directly collects data generated from users and analyzes as necessary to produce insights. User-based data are utilized to predict patterns of gameplay, in-game symptom, eventually enhancing gaming. Accordingly, in this study, we tried to analyze the gaming strategy and user activity patterns utilizing Battlegrounds in-game data to detect the in-game hack.
Keywords
Game data; Battlegrounds; Big data; User behavior; Game strategy;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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1 Ben G. Weber, Michael Mateas, "A data mining approach to strategy prediction", 2009 IEEE Symposium on Computational Intelligence and Games, pp140-147, 2009.
2 Jimin Ku, Jaehee Kim, "Development of game indicators and winning forecasting models with game data", Korean Data and Information Science Society, Vol. 28, No. 2, pp237-250, 2017.   DOI
3 Robert P. Jin, Byoung Chul Kim, Il Kyu Eom, Young-In Kim, "Prototype Development of a Mobile Baseball Pitching Prediction Game using Data Mining Techniques", Advanced Information Technology and Convergence, Vol. 12, No. 2, pp135-143, 2014.
4 Rafet Sifa, Fabian Hadiji, Julian Runge, Anders Drachen, Kristian Kersting, Christian Bauckhage, "Predicting purchase decisions in mobile free-to-play games", Eleventh Artificial Intelligence and Interactive Digital Entertainment Conference, pp79-85, 2015.
5 Anders Drachen, Rafet Sifa, Christian Bauckhage and Christian Thurau, "Guns, swords and data: Clustering of player behavior in computer games in the wild", 2012 IEEE conference on Computational Intelligence and Games (CIG), pp163-170, 2012.
6 Anders Drachen, Alessandro Canossa, Georgios N. Yannakakis, "Player modeling using self-organization in Tomb Raider: Underworld", 2009 IEEE symposium on computational intelligence and games, pp1-8, 2009.
7 Ah Reum Kang, Huy Kang Kim, Jiyoung Woo, "Chatting pattern based game BOT detection: do they talk like us?", KSII Transactions on Internet & Information Systems, Vol. 6, No. 11, pp2866-2879, 2012.   DOI
8 Xi Long, Haiying Ni, Le An, "Churn analysis of online social network users using data mining techniques", Proceedings of the international MultiConference of Engineers and Conputer Scientists, Vol. 1, 2012.
9 Cavusoglu, Huseyin, Srinivasan Raghunathan, Wei T. Yue, "Decision-theoretic and gametheoretic approaches to IT security investment", Management Information Systems, Vol. 25, No. 2, pp281-304, 2008.   DOI
10 Peter Laurens, Richard F. Paige, Phillip J. Brooke, Howard Chivers, "A novel approach to the detection of cheating in multiplayer online games", 12th IEEE International Conference on Engineering Complex Computer Systems (ICECCS 2007), pp97-106, 2007.
11 Cuong T. DO, Nguyen H. Tran, ChoongSeon Hong, Charles A. Kamhoua, Kevin A. Kwiat, Erik Blasch, Shaolei Ren, Niki Pissinou, Sundaraja Sitharama Iyengar, "Game Theory for Cyber Security and Privacy", ACM Computing Surveys (CSUR), Vol. 50, No. 2, pp1-30, 2017.
12 Mohammad Hossein Manshaei, Quanyan Zhu, Tansu Alpcan, Tamer Basar, Jean-Pierre Hubaux, "Game theory meets network security and privacy", ACM Computing Surveys (CSUR), Vol. 45, No. 3, pp1-25, 2013.
13 Jae-hyuk Lee, Sung Wook Kang, Huy Kang Kim, "Detecting malicious behaviors in MMORPG by applying motivation theory", Korea Game Society, Vol. 15, No .4, pp69-78, 2015   DOI
14 Jina Lee, Jiyoun Lim, Wonjun Cho, Huy Kang Kim, "In-game action sequence analysis for game bot detection on the big data analysis platform", Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Vol. 2, pp403-414, 2015.
15 Kuan-Ta Chen, Hsing-Kuo Kenneth Pao, Hong-Chung Chang, "Game bot identification based on manifold learning", Proceedings of the 7th ACM SIGCOMM Workshop on Network and System Support for Games, pp21-26, 2008.
16 Jong-In Kim, Ji-An Hwang, Kee-Chul Jung, Cheeonn Wong, "Game Player Model Analysis with Time Time-series Data Mining", Korea Information Science Society, Vol. 34, No. 1, pp293-296, 2007.
17 Korea Creative Contents Agency, "White Paper on Korean Games 2018", pp1-23, 2018.
18 Yong-Jae Im, Seon-Gyeong Baek, Seung-Jun Yeon, "Select and focus on securing competitiveness in the Big Data era", Information and Communications Magazine, Vol. 29, No. 11, pp3-10, 2012.
19 Magy Seif El-Nasr, Anders. Drachen, Alessandro. Canossa, "Game Analytics: Maximizing the Value of Palyer Data", Springer Science & Business Media, 2013.
20 Kun-Woo Park, Mee-Young Cha, "Churn Analysis of Maximum Level Users in Online Games, Korea Information Science Society, Vol. 44, No. 3, pp.314-322, 2017.
21 Byung-Il Kwak, Huy-Kang Kim, "A survey and categorization of anomaly detection in online games", Korea Institute of information Security and Cryptology, Vol. 25, No. 5, pp1097-1114, 2015.   DOI
22 https://www.kaggle.com
23 Ha-Na Kang, Hye-Ryeon Yong, Hyun-Seok Hwang, "A Study of Factors Influencing Helpfulness of Game Reviews: Analyzing STEAM Game Review Data", Korea Game Society, Vol. 17 No. 3, pp33-44, 2017.   DOI
24 Yi Wang, "Combining data mining and Game Theory in manufacturing strategy analysis", Intelligent Manufacturing Vol. 18, No. 4, pp505-511, 2007.   DOI
25 Liqiang Geng, Howard J. Hamilton, "Interestingness measures for data mining: A survey", ACM Computing Surveys (CSUR), Vol. 38, No. 9, pp1-33, 2006.   DOI
26 Anders Drachen, Christian Thurau, Julian Togelius, Georgios N. Yannakakis, Christian Bauckhage, "Game data mining", Game analytics, pp205-253, 2013.