Record Details

Individual Performance in Team-based Online Games

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Individual Performance in Team-based Online Games
 
Identifier https://doi.org/10.7910/DVN/B0GRWX
 
Creator Sapienza, Anna
Zeng, Yilei
Bessi, Alessandro
Lerman, Kristina
Ferrara, Emilio
 
Publisher Harvard Dataverse
 
Description League of Legends dataset associated with the paper titled:

Individual Performance in Team-based Online Games by Sapienza, A., Zeng, Y., Bessi, A., Lerman, K., Ferrara, E. (Royal Society Open Science 5 180329, 2018)

The dataset adopted for this study was collected using the League of Legends' Riot Games API (Riot Games API: https://developer.riotgames.com/)

It consists of 435,000 matches played by a sample of 1,120 of the most active players, i.e., those who played more than 100 games.
The data contains information about matches, including
match time and duration, and the number of deaths, kills, earned gold, gold spent, etc. for each player in each match.
 
Subject Computer and Information Science
 
Contributor Ferrara, Emilio