Visual Analytics of Dynamic Interplay Between Behaviors in MMORPGs

Junhua Lu, Xiao Xie, Ji Lan, Tai-Quan Peng, Wei Chen, Yingcai Wu
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引用次数: 3

Abstract

The rapid development of massively multiplayer online role-playing games (MMORPGs) has led operators to record huge amounts of fine-grained data from the in-game activities of players. These data provide considerable opportunities with which to study the dynamic interplay among player behaviors and investigate the roles of various social structures that underlie such interplay. However, modeling and visualizing these behavioral data remain a challenge. In this study, we propose a novel influence-susceptible model to measure the dynamic interplay among multiple behaviors. Based on this model, we introduce a new visual analytics system called BeXplorer. BeXplorer enables analysts to interactively explore the dynamic interplay between player purchase and communication behaviors and to examine the manner in which this interplay is bound by social structures where players are embedded.
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mmorpg中行为间动态相互作用的可视化分析
随着大型多人在线角色扮演游戏(mmorpg)的快速发展,运营商需要从玩家的游戏活动中记录大量细粒度的数据。这些数据为研究玩家行为之间的动态相互作用以及调查这种相互作用背后的各种社会结构的作用提供了大量的机会。然而,建模和可视化这些行为数据仍然是一个挑战。在这项研究中,我们提出了一个新的影响易感模型来衡量多种行为之间的动态相互作用。在此模型的基础上,介绍了一种新的可视化分析系统BeXplorer。BeXplorer使分析师能够互动地探索玩家购买和交流行为之间的动态相互作用,并检查这种相互作用是如何被玩家所嵌入的社交结构所约束的。
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