【24h】

Detecting Disruption: Identifying Structural Changes in the Verkhovna Rada

机译:检测干扰:确定Verkhovna Rada中的结构变化

获取原文

摘要

We identify time periods of disruption in the voting patterns of the Ukrainian parliament for the last three convocations. We compare two methods: ideal point estimation (PolSci) and faction detection (CS). Both methods identify the revolution in Ukraine in 2014. The faction detection method also detects structural changes prior to the revolution (election of the president whose tenure was ended early by the revolution), while the ideal points method performs stronger after 2014, identifying a disruption around voting on constitutional changes to implement Minsk II agreements between separatists and Ukraine. The ideal point method is better at detecting position changes of the members of parliament, while the faction method is better at detecting changes in relationships between different MPs. The results suggest that after 2014, the Ukrainian parliament has become more consolidated, but the distribution of its political positions continues to evolve in response to changes in geo-political conditions.
机译:我们确定了最近三次召集乌克兰议会投票方式的中断时间段。我们比较了两种方法:理想点估计(PolSci)和派系检测(CS)。两种方法都可以识别出2014年乌克兰的革命。派别检测方法还可以检测出革命之前的结构变化(总统任期因革命而提前结束),而理想点方法则可以在2014年之后发挥更大作用,从而确定破坏围绕对宪法改革进行投票,以实施分离主义者和乌克兰之间的明斯克II协议。理想点法更适合于检测国会议员位置的变化,而派系法更适合于检测不同国会议员之间关系的变化。结果表明,2014年之后,乌克兰议会变得更加巩固,但其政治立场的分布随着地缘政治条件的变化而不断发展。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号