国际法院形成先例的指标

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY Social Networks Pub Date : 2024-05-28 DOI:10.1016/j.socnet.2024.04.001
Daniele Bellutta, Kathleen M. Carley
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引用次数: 0

摘要

本研究扩展了之前对国际法院(ICJ)案例引用网络的分析,证明在识别重要先例来源方面,反向页码排序优于枢纽和权威评分。反向页码排序法的应用表明,虽然国际法院的判决在先前案例中具有良好的基础,往往会成为更重要的先例来源,但与美国最高法院相比,这种关系并不明显。这削弱了以往认为国际法院已变得更类似于普通法体系的结论,但支持了一种观点,即国际法院是一个在适用国际法的一致性与将其判决作为此类法律渊源的法定限制之间保持平衡的机构。此外,我们还利用构建法官之间协议网络的新方法来识别具有影响力的国际法院法官。这提供了证据,表明某些法官可能更能说明哪些裁决在未来会变得重要。虽然这种影响力的强度也很有限,但它表明某些国际法院法官可能比其他法官更能代表国际法律先例的发展。
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Indicators of the formation of precedent at the International Court of Justice

This study expands upon prior analysis of the case citation network of the International Court of Justice (ICJ) by demonstrating that reverse page-rank outperforms hub and authority score in identifying significant sources of precedent. Application of reverse page-rank reveals that though ICJ decisions that are well grounded in prior cases tend to become more important sources of precedent, this relationship is weak when compared to the US Supreme Court. This tempers past conclusions that the ICJ has become more similar to common law systems but supports a view of the Court as an institution that balances consistency in its application of international law with the statutory limits on using its decisions as sources of such law. In addition, a novel method for constructing agreement networks between judges is leveraged to identify ICJ judges with influential positions. This provides evidence that certain judges may be more indicative of which decisions become important in the future. Though the strength of this influence is also limited, it nevertheless suggests that some ICJ judges may better represent the development of international legal precedent than others.

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来源期刊
Social Networks
Social Networks Multiple-
CiteScore
5.90
自引率
12.90%
发文量
118
期刊介绍: Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.
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