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Erschienen in: Journal of Visualization 3/2017

21.01.2017 | Regular Paper

GameLifeVis: visual analysis of behavior evolutions in multiplayer online games

verfasst von: Wei Chen, Junhua Lu, Dingke Kong, Zhiqi Liu, Yandi Shen, Yinyin Chen, Jingxuan He, Shu Liu, Ye Qi, Yingcai Wu

Erschienen in: Journal of Visualization | Ausgabe 3/2017

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Abstract

Analyzing the user behaviors of multiplayer online games can help understand the sociality and characteristics of players in the virtual world. The primary task is to characterize the game life and its evolution within the game. We propose a novel network-based representation, EvolutionLine Graph, which illustrates the evolving behavior of massive game players as a sequence of time-oriented transitions among various status. We design and implement a novel visual analytics system, GameLifeVis, that supports the visualization, exploration, and analysis of multi-level user behaviors in an integrated visual interface. We exemplify the efficiency of our approach with case studies on a multi-faceted dataset collected within a popular online game (15 million players) in 18 months.

Graphical abstract

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Metadaten
Titel
GameLifeVis: visual analysis of behavior evolutions in multiplayer online games
verfasst von
Wei Chen
Junhua Lu
Dingke Kong
Zhiqi Liu
Yandi Shen
Yinyin Chen
Jingxuan He
Shu Liu
Ye Qi
Yingcai Wu
Publikationsdatum
21.01.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Visualization / Ausgabe 3/2017
Print ISSN: 1343-8875
Elektronische ISSN: 1875-8975
DOI
https://doi.org/10.1007/s12650-016-0416-0

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