0


在线游戏社区中的破坏性群体动力学建模

Modeling Destructive Group Dynamics in On-line Gaming Communities
课程网址: http://videolectures.net/icwsm2012_brdiczka_gaming/  
主讲教师: Oliver Brdiczka
开课单位: 帕洛阿尔托研究中心
开课时间: 2012-07-06
课程语种: 英语
中文简介:
社会群体往往表现出高度的活力。一些群体茁壮成长,而其他群体随着时间的推移而死建模破坏性动态并了解一个人是否/何时/何时离开一个群体在许多社交领域都很重要。在本文中,我们将“魔兽世界”游戏作为研究破坏性群体动态的示例平台。我们建立模型来预测个人是否以及何时将退出他/她的公会,以及这个退出事件是否会对公会造成重大损害。我们的预测因素从游戏人口普查数据开始,从多个角度提取特征,如个人级别,公会级别,游戏活动和社交互动功能。我们的研究表明,破坏性群体动力学通常可以从适度到高精度预测,而特征多样性对预测性能至关重要。
课程简介: Social groups often exhibit a high degree of dynamism. Some groups thrive, while many others die over time. Modeling destructive dynamics and understanding whether/why/when a person will depart from a group can be important in a number of social domains. In this paper, we take the World of Warcraft game as an exemplar platform for studying destructive group dynamics. We build models to predict if and when an individual is going to quit his/her guild, and whether this quitting event will inflict substantial damage on the guild. Our predictors start from in-game census data and extract features from multiple perspectives such as individual-level, guild-level, game activity, and social interaction features. Our study shows that destructive group dynamics can often be predicted with modest to high accuracy, and feature diversity is critical to prediction performance.
关 键 词: 社会群体; 建模; 破坏性群体动力学
课程来源: 视频讲座网
最后编审: 2019-04-27:cwx
阅读次数: 72