The European Physical Journal B ( IF 1.6 ) Pub Date : 2021-08-17 , DOI: 10.1140/epjb/s10051-021-00180-1 Ming-Xia Li 1, 2, 3 , Wei-Xing Zhou 2, 3, 4
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Abstract
Weiqi, also called Go or Baduk, is regarded as the most complicated board game in the world. Weiqi playing has a very long history in East Asia. Its strategic thinking in decision-making even affects militarists there. The availability of the records of almost all Weiqi games in the past decades enables us to perform quantitative studies about this sport with high statistical significance. Here, we construct the directed and undirected Elo transfer networks using over 80,000 Weiqi game records from 1941 to 2019. We investigate the distributions of network measures of the two Elo transfer networks, such as node degree, clustering coefficient, betweenness centrality, and closeness centrality. We find a strong correlation between the average Elo value of a Weiqi player and a few node traits. We also find a rich-club phenomenon among high-Elo players. The two networks are unveiled to possess significant communities, which are consistent with each other and can be well interpreted by player’s affiliation, gender, and Elo value. These findings are different in a large part from those of the chess Elo transfer networks.
Graphic abstract
中文翻译：
解析围棋选手的Elo转会网络
摘要
围棋，也被称为围棋或围棋，被认为是世界上最复杂的棋盘游戏。围棋在东亚有着非常悠久的历史。它在决策中的战略思维甚至影响了那里的军国主义者。过去几十年几乎所有围棋比赛的记录的可用性使我们能够对这项具有高度统计意义的运动进行定量研究。在这里，我们使用 1941 年至 2019 年的 80,000 多条围棋比赛记录构建了有向和无向 Elo 传输网络。我们调查了两个 Elo 传输网络的网络度量分布，例如节点度、聚类系数、中介中心性和紧密中心性. 我们发现围棋选手的平均 Elo 值与一些节点特征之间存在很强的相关性。我们还在高 Elo 玩家中发现了富人俱乐部现象。这两个网络被揭晓拥有重要的社区，这些社区彼此一致，可以很好地解释玩家的从属关系、性别和 Elo 价值。这些发现在很大程度上与国际象棋 Elo 传输网络的发现不同。
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