Network Science in Law: A Framework for Polish Case-Law Citation Network Analysis

2021 ◽  
Vol 23 (5) ◽  
pp. 62-66
Author(s):  
Lukasz Gorski
2017 ◽  
Vol 17 (1) ◽  
pp. 4-22 ◽  
Author(s):  
Henrik Palmer Olsen ◽  
Aysel Küçüksu

This article is concerned with identifying how contemporary data technology can be used to find and analyse the big amount of case law generated by international courts in a more comprehensive way than that achieved through the traditional manual reading of case law at the core of textbook or doctrinal analysis of judgements. The focus of the article is the European Court of Human Rights (ECtHRs) and its Article 14 + 2 case law, which is studied through the tools of citation network analysis. The resulting findings are then compared to a standard textbook approach in order to show how citation network analysis offers a reliable method in selecting cases for qualitative analysis and drawing information relevant to specific legal issues. The article proposes and eventually advances a new approach to legal research, which integrates quantitative network analysis with qualitative legal (doctrinal) analysis, and shows how this form of analysis enables a study of case law through the recognition of patterns within it that would have otherwise been difficult to identify. Using this approach to advance new insights into the prohibition of discrimination under Article 14 of the European Convention on Human Rights (ECHR), the article ultimately offers a new instrument for scholars and practitioners to put into use when considering the future narrative of discrimination law.


2021 ◽  
pp. 004051752110362
Author(s):  
Ka-Po Lee ◽  
Joanne Yip ◽  
Kit-Lun Yick ◽  
Chao Lu ◽  
Chris K Lo

Receptivity towards textile-based fiber optic sensors that are used to monitor physical health is increasing as they have good flexibility, are light in weight, provide wear comfort, have electromagnetic immunity, and are electrically safe. Their superior performance has facilitated their use for obtaining close to body measurements. However, there are many related studies in the literature, so it is challenging to identify the knowledge structure and research trends. Therefore, this article aims to provide an objective and systematic literature review on textile-based fiber optic sensors that are used for monitoring health issues and to analyze their trends through a citation network analysis. A full-text search of journal articles was conducted in the Web of Science Core Collection, and a total of 625 studies was found, with 47 that were used as the sample. Also, CitNetExplorer was used for analyzing the research domains and trends. Three research domains were identified, among them, “Flexible sensors for vital signs monitoring” is the largest research cluster, and most of the articles in this cluster focus on respiratory monitoring. Therefore, this area of study should probably be on the academic radar. The collection of data on textile-based fiber optic sensors is invaluable for evaluating degree of rehabilitation, detecting diseases, preventing accidents, as well as gauging the performance and training successfulness of athletes.


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