Sequence Alignment Based Analysis of Player Behavior in Massively Multiplayer Online Role-Playing Games (MMORPGs)

• Main Authors: SHIM, Kyong Jin, SRIVASTAVA, Jaideep
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2010
• Subjects: User behavior; games; inactivity; player behavior; sequence alignment; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/1504; https://ink.library.smu.edu.sg/context/sis_research/article/2503/viewcontent/Seq_allignment_MMORPGs_pv.pdf
• Institution: Singapore Management University

This study proposes a sequence alignment-based behavior analysis framework (SABAF) developed for predicting inactive game players that either leave the game permanently or stop playing the game for a long period of time. Sequence similarity scores and derived statistics form profile databases of ina...