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首页> 外文会议>International conference on social computing, behavioral-cultural modeling, and prediction >Predicting Social Ties in Massively Multiplayer Online Games
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Predicting Social Ties in Massively Multiplayer Online Games

机译：大型多人在线游戏中的社交联系预测

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Social media has allowed researchers to induce large social networks from easily accessible online data. However, relationships inferred from social media data may not always reflect the true underlying relationship. The main question of this work is: How does the public social network reflect the private social network? We begin to address this question by studying interactions between players in a Massively Multiplayer Online Game. We trained a number of classifiers to predict the social ties between players using data on public forum posts, private messages exchanged between players, and their relationship information. Results show that using public interaction knowledge significantly improves the prediction of social ties between two players and including a richer set of information on their relationship further improves this prediction.
机译：社交媒体使研究人员能够从易于访问的在线数据中引出大型社交网络。但是，从社交媒体数据推断出的关系可能并不总是反映出真正的潜在关系。这项工作的主要问题是：公共社交网络如何反映私人社交网络？我们开始通过研究大型多人在线游戏中玩家之间的互动来解决这个问题。我们使用公共论坛帖子上的数据，玩家之间交换的私人消息以及他们的关系信息，训练了许多分类器来预测玩家之间的社交联系。结果表明，使用公共互动知识可以显着改善两个参与者之间社会关系的预测，并且提供有关其关系的更丰富的信息集可以进一步改善这一预测。

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