地缘政治冲突急性阶段的加密经济用户行为

IF 4.5 2区计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS

IEEE Transactions on Computational Social Systems Pub Date : 2024-06-13 DOI:10.1109/TCSS.2024.3404590

Jorão Gomes;Heder Bernardino;Alex Borges Vieira;Verena Dorner;Davor Svetinovic

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引用次数: 0

摘要

地缘政治冲突严重影响金融网络和系统，如俄罗斯和乌克兰。比特币和以太坊等加密经济区块链是作为传统金融系统的替代品而推出的，在重大压力下可能会表现出不同的行为。俄乌冲突让我们得以分析这种复杂的地缘政治冲突对加密经济区块链用户行为的影响。本文利用时变图研究了这种地缘政治冲突的早期阶段。我们收集并分析了冲突开始前后两周内发生的所有比特币和以太坊交易，也就是说，我们关注的是此类事件的急性影响。我们的研究结果表明，此类地缘政治冲突的早期阶段可能会严重影响加密经济区块链的用户行为。例如，我们发现一些用户在冲突前阶段表现得更为谨慎，而在冲突后阶段则恢复了常态，但他们的行为却发生了转变。本文分析了地缘政治冲突早期阶段与加密经济系统之间的关系。

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Cryptoeconomic User Behavior in the Acute Stages of Geopolitical Conflict

Geopolitical conflicts significantly impact financial networks and systems, e.g., Russia and Ukraine. Cryptoeconomic blockchains such as Bitcoin and Ethereum were introduced as substitutes for traditional financial systems and might behave differently under significant stress. The Russia–Ukraine conflict allowed us to analyze the impact of such complex geopolitical conflicts on the user behaviors of cryptoeconomic blockchains. This article investigates the early stage of such geopolitical conflict using time-varying graphs. We collected and analyzed all the transactions for Bitcoin and Ethereum that took place 2 weeks before and after the conflict started, i.e., we focused on what can be defined as the acute impact of such an event. Our results suggest that the early stage of such geopolitical conflicts may significantly affect cryptoeconomic blockchains’ user behaviors. For instance, we detected that some users behaved more cautiously during the preconflict phase and resumed normalcy during the postconflict phase but exhibited a shift in their behavior. This article analyzes the relationship between the early stages of geopolitical conflicts and cryptoeconomic systems.

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来源期刊

IEEE Transactions on Computational Social Systems Social Sciences-Social Sciences (miscellaneous)

CiteScore

10.00

自引率

20.00%

发文量

316

期刊介绍： IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.