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Social Network Analysis of the Panama Papers Concentrating on the MENA Region
The Computer Journal ( IF 1.5 ) Pub Date : 2021-06-01 , DOI: 10.1093/comjnl/bxab086
Bashar Al shboul 1 , Abdullateef Rabab’ah 2 , Mahmoud Al-Ayyoub 2 , Yaser Jararweh 2 , Thar Baker 3
Affiliation  

The release of millions of financial documents, which has been known as the ‘WikiLeaks’ of the financial world (a.k.a. ‘Panama Papers’), has dragged global attention in how highly structured means applied by some of the elite to conceal their financial assets. Consequently, significant financial corruption allegations were raised. We concentrate on a somewhat overlooked region, the Middle East and North Africa (MENA) region. This study aims to use social network analytics to study the information contained in these documents. We are checking the major players in the MENA’s trends and patterns to determine if it matches the known economic powers. The analysis reveals that while the constructed network enjoys some typical characteristics, many interesting observations and properties are worth discussing. Specifically, using the extracted network consisting of 62 987 nodes and 84 692 edges, our social network analysis finding shows that, perhaps surprisingly, the nodes or the social network are not necessarily directly correlated with perceived economic influence.

中文翻译:

专注于中东和北非地区的巴拿马论文的社会网络分析

数以百万计的金融文件的发布,被称为金融界的“维基解密”(又名“巴拿马文件”),引起了全球的关注,即一些精英如何使用高度结构化的手段来隐藏他们的金融资产。因此,提出了重大的金融腐败指控。我们专注于一个有些被忽视的地区,即中东和北非 (MENA) 地区。本研究旨在使用社交网络分析来研究这些文档中包含的信息。我们正在检查中东和北非地区趋势和模式的主要参与者,以确定它是否与已知的经济实力相匹配。分析表明,虽然构建的网络具有一些典型特征,但许多有趣的观察和性质值得讨论。具体来说,
更新日期:2021-06-01
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