Nonparametric and nonlinear panel data and time series analysis (B06)

非参数和非线性面板数据与时间序列分析（B06）

• 批准号: 162627584
• 金额: --
• 依托单位: Fachgruppe Wirtschaftsmathematik
• 依托单位国家: 德国
• 项目类别: Collaborative Research Centres
• 财政年份: 2010
• 资助国家: 德国
• 起止时间: 2009-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/162627584?language=en
• 关键词: Nonparametric; nonlinear; panel; data; time

In the recent past, the analysis of network structures has become popular in political science. Specifically, it is of interest to assess how persistent network structures are, to identify key actors driving the political agenda and to study their dynamic interaction. The aim of this project is to contribute novel methods along two complementary lines of research: the automatic extraction of networks from political text using natural language processing methods and the development of methods for high-dimensional time series that are suitable for analyzing the dynamics of networks formed by political actors.

近年来，网络结构的分析在政治学中变得流行起来。具体而言，评估网络结构的持久性，确定推动政治议程的关键行为体并研究其动态互动是有意义的。该项目的目的是沿着沿着两条互补的研究路线贡献新的方法：使用自然语言处理方法从政治文本中自动提取网络，以及开发适合于分析政治行为者形成的网络动态的高维时间序列方法。