Network Centrality Values of 30 Cases of Biopiracy

This document is published to supplement the document titled “A Social Network Perspective on the 30 Cases Of Biopiracy: Background Information and Sources” previously published on Mendeley Data and the chapter titled “Unveiling the Legal Geography of Biopiracy of Genetic Resources and Traditional Knowledge Using Social Network Analysis” to be published in Legal Geographies of Intellectual Property (editors: Jenny Kanellopoulou and Smita Kheria). The content of this document is the result of the social network analysis conducted by the author on 30 selected cases of biopiracy. It provides social network centrality values for each case, including degree (in-degree and out-degree), closeness, betweenness, and Eigenvector centrality. To arrive at this data, the author has conducted a comprehensive and in-depth review of the existing literature on biopiracy cases based on a systematic online search. The literature includes a wide spectrum of published legal and scientific research, project reports, legal documents related to access and benefit-sharing agreements, newspapers, and patent records. The cases have been carefully scrutinized, drawing from a multitude of sources to minimize the risk of misinformation and altered narratives regarding the flow of genetic resources and the associated traditional knowledge, as well as the position of specific nodes within the network. The resulting set of 30 cases primarily involves instances of misappropriation and patenting of genetic resources, with a smaller number involving traditional knowledge. The use of any content in this document must be accompanied by a proper citation to the open data titled “A Social Network Perspective on the 30 Cases Of Biopiracy: Background Information and Sources” previously published on Mendeley as well as the chapter titled “Unveiling the Legal Geography of Biopiracy of Genetic Resources and Traditional Knowledge Using Social Network Analysis” to be published in Legal Geographies of Intellectual Property (editors: Jenny Kanellopoulou and Smita Kheria).本文件旨在补充此前发布于孟德勒数据（Mendeley Data）平台的题为"A Social Network Perspective on the 30 Cases Of Biopiracy: Background Information and Sources"的公开数据集文件，以及即将收录于《知识产权法律地理》（编者：Jenny Kanellopoulou与Smita Kheria）的章节"Unveiling the Legal Geography of Biopiracy of Genetic Resources and Traditional Knowledge Using Social Network Analysis"。 本文件内容为作者针对30例遴选的生物盗版（Biopiracy）案例开展社会网络分析（Social Network Analysis）的成果，提供了各案例的社会网络中心性指标，包括度中心性（含入度与出度）、亲近中心性、中介中心性及特征向量中心性。 为生成该数据集，作者通过系统性线上检索，对现有生物盗版案例相关文献开展了全面深入的综述。所纳入的文献涵盖了广泛的已发表法律与科学研究、项目报告、与获取及惠益分享协定（Access and Benefit-Sharing Agreements）相关的法律文件、报纸报道及专利档案。 作者对案例进行了审慎甄别，从多源渠道开展溯源核查，以最大限度降低遗传资源与相关传统知识流转、以及网络中特定节点位置相关的错误信息与叙事扭曲风险。 最终纳入的30例案例以遗传资源盗用与专利申请情形为主，少数案例涉及传统知识相关的生物盗版行为。 使用本文件的任何内容时，均需正确引用此前发布于孟德勒数据平台的题为"A Social Network Perspective on the 30 Cases Of Biopiracy: Background Information and Sources"的公开数据集，以及即将收录于《知识产权法律地理》的上述章节（编者：Jenny Kanellopoulou与Smita Kheria）。