论文标题
通过网络分析探索农业气象的科学交流
Exploring Scientific Exchange in Agricultural Meteorology with Network Analysis
论文作者
论文摘要
网络分析在对科学社区及其知识循环过程的历史研究中变得越来越重要，因为它提供了探索和可视化与传统历史方法在质量上的规模上探索和可视化联系的机会。时间网络特别适合这项任务，因为它们可以随着时间的流逝研究科学社区的演变。在本文中，我们将依靠时间网络提供的分析工具来研究国际气象组织（IMO）建立的农业技术统计（1913-1947）。通过使用该委员会可用的会员数据，我们将研究这个科学界在数十年中如何发展，谁是其主要成员，是国家团体的代表，以及两个世界大战等历史事件如何影响该组织的工作。这将使我们深入了解该科学机构的知识循环过程，因为IMO是一个基于自愿合作的国际组织，其工作首先是AMOG互动的直接后果。在我们的论文中，我们将依靠中心度度量（特征向量，关节和有条件的中心性）来了解委员会网络的结构，我们将不断指出历史数据分析时时间网络的优势和劣势。
Network analysis is becoming increasingly relevant in the historical investigation of scientific communities and their knowledge circulation process, because it offers the opportunity to explore and visualize connections amog scientific actors on a scale qualitatively different from traditional historical methods. Temporal networks are especially suitable for this task, as they allow to investigate the evolution of scientific communities over time. In this paper we will rely on the analytical tools provided by temporal networks to examine the technical comission on agriculture (1913 - 1947) established by the International Meteorological Organization (IMO). By using the membership data available on this commission, we will investigate how this scientific community evolved over the decades, who were its key members, which national groups were represented, and how historical events, such as the two world wars, impacted on the work of this organization. This will give us an insight into the knowledge circulation process of this scientific body, as the IMO was an international organization based on voluntary cooperation and its work was first and foremost the immediate consequence of the interaction amog its members. In our paper we will rely on centrality measures (eigenvector, joint, and conditional centrality) to understand the structure of the comission's network, and we will constantly point out the strengths and weaknesses of temporal networks in the analysis of historical data.
