Dynamic of Gamers' Behaviors: In-Game Interactions and Friendships in Counter-Strike:Global Offensive and Team Fortress 2

A large longitudinal datasets for in-game Interactions and friendships in Counter-Strike:Global Offensive and Team Fortress. Four CSV files were copressed and uploaded for two games. Two files (one for each game) provide players information in teams, and the other two files provides friendship networks with the date of friendship. They include the following attributes: - steam ID (interaction datasets) - community ID (Friendship datasets) - map start time (Unix timestamp), map country, and the total number of rounds for the player in the map since connecting. - team name,. - skills, ranks, and the skill change since the player joined a new map compared to the last map he joined. - win , loss points since a player joined a map, total wins, and total losses. - playing duration - country and city. - crawle time, inserted time.本数据集为面向《反恐精英：全球攻势》（Counter-Strike: Global Offensive）与《军团要塞》（Team Fortress）两款游戏内交互行为与社交关系的大型纵向数据集。本次共上传了针对这两款游戏的四个压缩后的CSV格式文件：其中两个文件（每款游戏各一个）存储玩家队内相关信息，剩余两个文件则包含带有好友关系建立日期的好友网络数据。 该数据集包含以下属性字段： - Steam ID（交互数据集专用） - 社区ID（好友关系数据集专用） - 对局开始时间（Unix时间戳（Unix timestamp））、对局所在国家、玩家自连接该对局起参与的总回合数 - 队伍名称 - 玩家技能水平、段位，以及相较于上一局，加入当前对局后的技能变化量 - 玩家加入当前对局后的胜场积分、败场积分，以及总胜场数、总败场数 - 游戏时长 - 所在国家与城市 - 爬取时间、入库时间