Human team behavior and predictability in the massively multiplayer online game WOT Blitz

IF 2.6 4区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

ACM Transactions on the Web Pub Date : 2023-08-26 DOI:10.1145/3617509

F. Emmert-Streib, S. Tripathi, M. Dehmer

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引用次数: 0

Abstract

Massively multiplayer online games (MMOGs) played on the Web provide a new form of social, computer-mediated interactions that allow the connection of millions of players worldwide. The rules governing team-based MMOGs are typically complex and non-deterministic giving rise to an intricate dynamical behavior. However, due to the novelty and complexity of MMOGs their behavior is understudied. In this paper, we investigate the MMOG World of Tanks (WOT) Blitz by using a combined approach based on data science and complex adaptive systems. We analyze data on the population level to get insight into organizational principles of the game and its game mechanics. For this reason, we study the scaling behavior and the predictability of system variables. As a result, we find a power-law behavior on the population level revealing long-range interactions between system variables. Furthermore, we identify and quantify the predictability of summary statistics of the game and its decomposition into explanatory variables. This reveals a heterogeneous progression through the tiers and identifies only a single system variable as key driver for the win rate.

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大型多人在线游戏《坦克世界闪电战》中的人类团队行为和可预测性

在网络上玩的大规模多人在线游戏（MMOG）提供了一种新的社交形式，通过计算机进行交互，可以连接全球数百万玩家。管理基于团队的MMOG的规则通常是复杂的和不确定的，从而产生复杂的动态行为。然而，由于MMOG的新颖性和复杂性，人们对其行为研究不足。在本文中，我们使用基于数据科学和复杂自适应系统的组合方法来研究MMOG坦克世界（WOT）闪电战。我们分析人口层面的数据，以深入了解游戏的组织原则及其游戏机制。因此，我们研究了系统变量的伸缩行为和可预测性。结果，我们发现在总体水平上的幂律行为揭示了系统变量之间的长期相互作用。此外，我们确定并量化了游戏汇总统计数据的可预测性，并将其分解为解释变量。这揭示了各层次的异质性进展，并仅将单个系统变量确定为获胜率的关键驱动因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACM Transactions on the Web 工程技术-计算机：软件工程

CiteScore

4.90

自引率

0.00%

发文量

审稿时长

7.5 months

期刊介绍： Transactions on the Web (TWEB) is a journal publishing refereed articles reporting the results of research on Web content, applications, use, and related enabling technologies. Topics in the scope of TWEB include but are not limited to the following: Browsers and Web Interfaces; Electronic Commerce; Electronic Publishing; Hypertext and Hypermedia; Semantic Web; Web Engineering; Web Services; and Service-Oriented Computing XML. In addition, papers addressing the intersection of the following broader technologies with the Web are also in scope: Accessibility; Business Services Education; Knowledge Management and Representation; Mobility and pervasive computing; Performance and scalability; Recommender systems; Searching, Indexing, Classification, Retrieval and Querying, Data Mining and Analysis; Security and Privacy; and User Interfaces. Papers discussing specific Web technologies, applications, content generation and management and use are within scope. Also, papers describing novel applications of the web as well as papers on the underlying technologies are welcome.