Abstract
Analyzing the user behavior 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, that 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.
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Acknowledgements
This work is supported by NSFC (61232012, 61422211, 61303141), Zhejiang NSFC (Y12F020172), and the Fundamental Research Funds for the Central Universities
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Liu, Z. et al. (2016). Visual Exploration of Virtual Lives in Multiplayer Online Games. In: El Rhalibi, A., Tian, F., Pan, Z., Liu, B. (eds) E-Learning and Games. Edutainment 2016. Lecture Notes in Computer Science(), vol 9654. Springer, Cham. https://doi.org/10.1007/978-3-319-40259-8_1
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DOI: https://doi.org/10.1007/978-3-319-40259-8_1
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