research data . Dataset . 2015

League of Legends Illicit Bot Prevalence Data

Lee, Choong-Soo; Ramler, Ivan;
  • Published: 28 Jul 2015
  • Publisher: Figshare
Abstract
<p>Data set for investigating and measuring illicit bot prevalence in North American and Western Europe League of Legends PvP matches associated with</p> <p>C. S. Lee and I. Ramler, "Rise of the bots: Bot prevalence and its impact on match outcomes in league of Legends," <em>2015 International Workshop on Network and Systems Support for Games (NetGames)</em>, Zagreb, 2015, pp. 1-6.<br> doi: 10.1109/NetGames.2015.7382992</p> <p>Description of Variables:</p> <ul> <li>level: level of summoner</li> <li>matchId: de-identified identification number for match</li> <li>winner: flag indicating whether or not the team won</li> <li>kill: number of kills</li> <li>death: num...
Subjects
free text keywords: Uncategorized, zenodo, esports, analytics
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Zenodo
Dataset . 2015
Provider: Datacite
Zenodo
Dataset . 2015
Provider: Zenodo
figshare
Dataset . 2015
Provider: figshare
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research data . Dataset . 2015

League of Legends Illicit Bot Prevalence Data

Lee, Choong-Soo; Ramler, Ivan;