Soft Play Detection in Shooter Games Using Hit Matrix Analysis

Jussi Laasonen; Jouni Smed

Research Article

Soft Play Detection in Shooter Games Using Hit Matrix Analysis

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Cite: BibTeX Plain Text

@ARTICLE{10.4108/icst.intetain.2015.259565,
    author={Jussi Laasonen and Jouni Smed},
    title={Soft Play Detection in Shooter Games Using Hit Matrix Analysis},
    journal={EAI Endorsed Transactions on Serious Games},
    volume={2},
    number={5},
    publisher={EAI},
    journal_a={SG},
    year={2015},
    month={8},
    keywords={cheating, collusion, community detection, e-sports, graph clustering, multiplayer games, principal component analysis, soft play},
    doi={10.4108/icst.intetain.2015.259565}
}

Jussi Laasonen
Jouni Smed
Year: 2015
Soft Play Detection in Shooter Games Using Hit Matrix Analysis
SG
EAI
DOI: 10.4108/icst.intetain.2015.259565

Jussi Laasonen¹^,*, Jouni Smed¹

1: Department of Information Technology, University of Turku

*Contact email: juvila@utu.fi

Abstract

Soft play is a form of cheating where players deliberately play easy against each other. We evaluate different methods for detecting the players engaging in soft play in shooter games using data generated with synthetic players. These methods are used when analysing the hit matrix of the game.

Keywords: cheating, collusion, community detection, e-sports, graph clustering, multiplayer games, principal component analysis, soft play

Published: 2015-08-03
Publisher: EAI

: http://dx.doi.org/10.4108/icst.intetain.2015.259565

Copyright © 2015 J. Laasonen al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.