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首页> 外文期刊>Physics Letters, A >Multi-cultural Wikipedia mining of geopolitics interactions leveraging reduced Google matrix analysis
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Multi-cultural Wikipedia mining of geopolitics interactions leveraging reduced Google matrix analysis

机译:多文化维基百科挖掘地缘政治交互利用减少了谷歌矩阵分析

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摘要

Geopolitics focuses on political power in relation to geographic space. Interactions among world countries have been widely studied at various scales, observing economic exchanges, world history or international politics among others. This work exhibits the potential of Wikipedia mining for such studies. Indeed, Wikipedia stores valuable fine-grained dependencies among countries by linking webpages together for diverse types of interactions (not only related to economical, political or historical facts). We mine herein the Wikipedia networks of several language editions using the recently proposed method of reduced Google matrix analysis. This approach allows to establish direct and hidden links between a subset of nodes that belong to a much larger directed network. Our study concentrates on 40 major countries chosen worldwide. Our aim is to offer a multicultural perspective on their interactions by comparing networks extracted from five different Wikipedia language editions, emphasizing English, Russian and Arabic ones. We demonstrate that this approach allows to recover meaningful direct and hidden links among the 40 countries of interest. (C) 2017 Elsevier B.V. All rights reserved.
机译:地缘政治侧重于与地理空间有关的政治权力。世界各国之间的互动已被广泛研究各种规模,观察经济交流,世界历史或国际政治等。这项工作展示了维基百科矿业对此类研究的潜力。事实上,维基百科通过将网页与经济,政治或历史事实相关的不同类型的相互作用,将网页汇总在一起,以各国之间的价格储存有价值的细粒度依赖关系。我们在这里使用了几种语言版本的维基百科网络,使用最近提出的谷歌矩阵分析的方法。这种方法允许在属于更大的指示网络的节点子集之间建立直接和隐藏的链接。我们的学习集中在全球选择的40个主要国家。我们的目标是通过比较从五个不同维基百科语言版本中提取的网络,强调英语,俄语和阿拉伯语的网络来提供多元文化的互动视角。我们证明这种方法允许在40个兴趣国之间恢复有意义的直接和隐藏的联系。 (c)2017年Elsevier B.V.保留所有权利。

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