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

빅데이터를 활용한 게임 전략 및 유저 행동 패턴 분석: 배틀그라운드 게임을 중심으로

  • 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)
  • 강하나 (한림대학교 인터랙션디자인대학원) ;
  • 용혜련 (한림대학교 인터랙션디자인대학원) ;
  • 황현석 (한림대학교 경영학과)
  • Received : 2019.05.29
  • Accepted : 2019.07.10
  • Published : 2019.08.20

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.

대량의 데이터 처리가 용이해지면서, 기업들은 사용자로부터 생성되는 데이터를 필요에 따라 분석함으로써 유용한 함의를 얻는데 활용하고 있다. 특히 게임에서는 게임 유저가 다양한 플레이를 하고 다른 게임 요소와 상호작용을 활발하게 함으로써 수많은 양의 사용자 기반 데이터가 발생하게 된다. 게임 관련 데이터는 유저의 이탈이나 게임 플레이 패턴, 게임 내 이상 징후 등을 예측할 수 있게 하는 등의 게임 환경 개선을 위한 자료로 활용되고 있다. 이에 따라 본 연구에서는 배틀그라운드 게임 데이터를 활용하여 게임 전략 분석 및 유저 행동 패턴을 파악하고, 게임 내 비정상적인 활동을 탐지하고자 하였다.

Keywords

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