Individual Performance in Team-based Online Games
收藏DataCite Commons2025-05-11 更新2025-05-17 收录
下载链接：
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/B0GRWX
下载链接
链接失效反馈官方服务：
资源简介：
League of Legends dataset associated with the paper titled:
<a href="http://rsos.royalsocietypublishing.org/content/5/6/180329" target="_blank">Individual Performance in Team-based Online Games</a> 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.
提供机构：
Harvard Dataverse
创建时间：
2017-07-14
