Selecting the cases that defined Europe: Complementary metrics for a network analysis

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Selecting the cases that defined Europe : Complementary metrics for a network analysis. / Tarissan, Fabien; Panagis, Yannis; Sadl, Urska.

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 661-668 7752308.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Tarissan, F, Panagis, Y & Sadl, U 2016, Selecting the cases that defined Europe: Complementary metrics for a network analysis. in Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016., 7752308, Institute of Electrical and Electronics Engineers Inc., pp. 661-668, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, United States, 18/08/2016. https://doi.org/10.1109/ASONAM.2016.7752308

APA

Tarissan, F., Panagis, Y., & Sadl, U. (2016). Selecting the cases that defined Europe: Complementary metrics for a network analysis. In Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 (pp. 661-668). [7752308] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASONAM.2016.7752308

Vancouver

Tarissan F, Panagis Y, Sadl U. Selecting the cases that defined Europe: Complementary metrics for a network analysis. In Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 661-668. 7752308 https://doi.org/10.1109/ASONAM.2016.7752308

Author

Tarissan, Fabien ; Panagis, Yannis ; Sadl, Urska. / Selecting the cases that defined Europe : Complementary metrics for a network analysis. Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 661-668

Bibtex

@inproceedings{1bd8e319916c4c8eaf21739a824f2892,
title = "Selecting the cases that defined Europe: Complementary metrics for a network analysis",
abstract = "Do case citations reflect the 'real' importance of individual judgments for the legal system concerned? This question has long been puzzling empirical legal scholars. Existing research typically studies case citation networks as a whole applying traditional network metrics stemming from graph theory. Those approaches are able to detect globally important cases, but since they do not take time explicitly into account, they cannot provide a comprehensive account of the dynamics behind the network structure and its evolution. In this paper we provide such a description, using two node importance metrics that take time into account to study important cases in the Court of Justice of the European Union over time. We then compare cases deemed as important by the metrics, with a set of 50 cases selected by the Court as the most important (landmark) cases. Our contribution is twofold. First, with regard to network science, we show that structural and time-related properties are complementary, and necessary to obtain a complete and nuanced picture of the citation network. Second, with regard to the case law of the Court, this study provides empirical evidence clarifying the motivation of the Court when selecting the landmark cases, revealing the importance of symbolic and historical cases in the selection. In addition, the temporal analysis sheds new light on the network properties specific to the landmark cases that distinguishes them from the rest of the cases. We validate our results by providing legal interpretations that sustain the highlights provided by the proposed network analysis.",
keywords = "Authority scores, Average longevity, Citation networks, Directed acyclic graphs, European Court of Justice, Relative in-degree",
author = "Fabien Tarissan and Yannis Panagis and Urska Sadl",
year = "2016",
month = nov,
day = "21",
doi = "10.1109/ASONAM.2016.7752308",
language = "English",
pages = "661--668",
booktitle = "Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 ; Conference date: 18-08-2016 Through 21-08-2016",

}

RIS

TY - GEN

T1 - Selecting the cases that defined Europe

T2 - 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016

AU - Tarissan, Fabien

AU - Panagis, Yannis

AU - Sadl, Urska

PY - 2016/11/21

Y1 - 2016/11/21

N2 - Do case citations reflect the 'real' importance of individual judgments for the legal system concerned? This question has long been puzzling empirical legal scholars. Existing research typically studies case citation networks as a whole applying traditional network metrics stemming from graph theory. Those approaches are able to detect globally important cases, but since they do not take time explicitly into account, they cannot provide a comprehensive account of the dynamics behind the network structure and its evolution. In this paper we provide such a description, using two node importance metrics that take time into account to study important cases in the Court of Justice of the European Union over time. We then compare cases deemed as important by the metrics, with a set of 50 cases selected by the Court as the most important (landmark) cases. Our contribution is twofold. First, with regard to network science, we show that structural and time-related properties are complementary, and necessary to obtain a complete and nuanced picture of the citation network. Second, with regard to the case law of the Court, this study provides empirical evidence clarifying the motivation of the Court when selecting the landmark cases, revealing the importance of symbolic and historical cases in the selection. In addition, the temporal analysis sheds new light on the network properties specific to the landmark cases that distinguishes them from the rest of the cases. We validate our results by providing legal interpretations that sustain the highlights provided by the proposed network analysis.

AB - Do case citations reflect the 'real' importance of individual judgments for the legal system concerned? This question has long been puzzling empirical legal scholars. Existing research typically studies case citation networks as a whole applying traditional network metrics stemming from graph theory. Those approaches are able to detect globally important cases, but since they do not take time explicitly into account, they cannot provide a comprehensive account of the dynamics behind the network structure and its evolution. In this paper we provide such a description, using two node importance metrics that take time into account to study important cases in the Court of Justice of the European Union over time. We then compare cases deemed as important by the metrics, with a set of 50 cases selected by the Court as the most important (landmark) cases. Our contribution is twofold. First, with regard to network science, we show that structural and time-related properties are complementary, and necessary to obtain a complete and nuanced picture of the citation network. Second, with regard to the case law of the Court, this study provides empirical evidence clarifying the motivation of the Court when selecting the landmark cases, revealing the importance of symbolic and historical cases in the selection. In addition, the temporal analysis sheds new light on the network properties specific to the landmark cases that distinguishes them from the rest of the cases. We validate our results by providing legal interpretations that sustain the highlights provided by the proposed network analysis.

KW - Authority scores

KW - Average longevity

KW - Citation networks

KW - Directed acyclic graphs

KW - European Court of Justice

KW - Relative in-degree

UR - http://www.scopus.com/inward/record.url?scp=85006827324&partnerID=8YFLogxK

U2 - 10.1109/ASONAM.2016.7752308

DO - 10.1109/ASONAM.2016.7752308

M3 - Article in proceedings

AN - SCOPUS:85006827324

SP - 661

EP - 668

BT - Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 18 August 2016 through 21 August 2016

ER -

ID: 203178041