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首页> 外文会议>IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining >Finding Your Social Space: Empirical Study of Social Exploration in Multiplayer Online Games
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Finding Your Social Space: Empirical Study of Social Exploration in Multiplayer Online Games

机译：寻找您的社交空间：多人在线游戏中社交探索的实证研究

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Social dynamics are based on human needs for trust, support, resource sharing, irrespective of whether they operate in real life or in a virtual setting. Massively multiplayer online role-playing games (MMORPGS) serve as enablers of leisurely social activity and are important tools for social interactions. Past research has shown that socially dense gaming environments like MMORPGs can be used to study important social phenomena, which may operate in real life, too. We describe the process of social exploration to entail the following components 1) finding the balance between personal and social time 2) making choice between a large number of weak ties or few strong social ties. 3) finding a social group. In general, these are the major determinants of an individual's social life. This paper looks into the phenomenon of social exploration in an activity based online social environment. We study this process through the lens of the following research questions, 1) What are the different social behavior types? 2) Is there a change in a player's social behavior over time? 3) Are certain social behaviors more stable than the others? 4) Can longitudinal research of player behavior help shed light on the social dynamics and processes in the network? We use an unsupervised machine learning approach to come up with 4 different social behavior types - Lone Wolf, Pack Wolf of Small Pack, Pack Wolf of a Large Pack and Social Butterfly. The types represent the degree of socialization of players in the game. Our research reveals that social behaviors change with time. While lone wolf and pack wolf of small pack are more stable social behaviors, pack wolf of large pack and social butterflies are more transient. We also observe that players progressively move from large groups with weak social ties to settle in small groups with stronger ties.
机译：社会动态是基于人类的信任，支持，资源共享的需求，而不论它们是在现实生活中还是虚拟设置。大型多人在线角色播放游戏（MMORPGS）作为悠闲社会活动的推动者，是社会互动的重要工具。过去的研究表明，像MMORPG一样的社会密集的游戏环境可用于研究重要的社会现象，这也可以在现实生活中运行。我们描述了社会探索的过程，以提出以下组成部分1）找到个人和社会时代的平衡2）在大量弱领带或少量社交关系之间做出选择。 3）寻找一个社会团体。一般来说，这些是个人社交生活的主要决定因素。本文探讨了基于在线社会环境中的社会探索现象。我们通过以下研究问题的镜头研究这一过程，1）有什么不同的社会行为类型？ 2）玩家的社会行为是否随着时间的推移而发生变化？ 3）某些社会行为比其他人更稳定吗？ 4）可以对玩家行为的纵向研究有助于揭示网络中的社会动态和过程吗？我们使用无监督的机器学习方法来提出4种不同的社会行为类型 - 孤狼，小包装的狼，大包装和社交蝴蝶的狼。这些类型代表了游戏中玩家的社会化程度。我们的研究表明，社会行为随着时间的推移而变化。虽然孤独的小包装的狼和包装狼是更稳定的社会行为，但是大包装和社会蝴蝶的沃尔夫更短暂。我们还观察到，球员从大型群体逐渐移动，社会关系薄弱，以便在具有更强关系的小组中定居。

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