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欧洲议会中的凝聚力与联盟形成:唱名表决与推特活动

Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities.

作者信息

Cherepnalkoski Darko, Karpf Andreas, Mozetič Igor, Grčar Miha

机构信息

Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia.

Université Panthéon-Sorbonne / Paris School of Economics, Paris, France.

出版信息

PLoS One. 2016 Nov 11;11(11):e0166586. doi: 10.1371/journal.pone.0166586. eCollection 2016.

Abstract

We study the cohesion within and the coalitions between political groups in the Eighth European Parliament (2014-2019) by analyzing two entirely different aspects of the behavior of the Members of the European Parliament (MEPs) in the policy-making processes. On one hand, we analyze their co-voting patterns and, on the other, their retweeting behavior. We make use of two diverse datasets in the analysis. The first one is the roll-call vote dataset, where cohesion is regarded as the tendency to co-vote within a group, and a coalition is formed when the members of several groups exhibit a high degree of co-voting agreement on a subject. The second dataset comes from Twitter; it captures the retweeting (i.e., endorsing) behavior of the MEPs and implies cohesion (retweets within the same group) and coalitions (retweets between groups) from a completely different perspective. We employ two different methodologies to analyze the cohesion and coalitions. The first one is based on Krippendorff's Alpha reliability, used to measure the agreement between raters in data-analysis scenarios, and the second one is based on Exponential Random Graph Models, often used in social-network analysis. We give general insights into the cohesion of political groups in the European Parliament, explore whether coalitions are formed in the same way for different policy areas, and examine to what degree the retweeting behavior of MEPs corresponds to their co-voting patterns. A novel and interesting aspect of our work is the relationship between the co-voting and retweeting patterns.

摘要

我们通过分析欧洲议会议员(MEP)在决策过程中行为的两个截然不同的方面,研究了第八届欧洲议会(2014 - 2019年)中政治团体内部的凝聚力以及它们之间的联盟情况。一方面,我们分析他们的共同投票模式,另一方面,分析他们的转发行为。在分析中我们使用了两个不同的数据集。第一个是唱名表决数据集,其中凝聚力被视为一个团体内部共同投票的倾向,当几个团体的成员在某个议题上表现出高度的共同投票一致性时,就形成了一个联盟。第二个数据集来自推特;它捕捉了欧洲议会议员的转发(即认可)行为,并从一个完全不同的角度暗示了凝聚力(同组内的转发)和联盟(组间的转发)。我们采用两种不同的方法来分析凝聚力和联盟情况。第一种方法基于克里彭多夫阿尔法可靠性,用于测量数据分析场景中评分者之间的一致性,第二种方法基于指数随机图模型,常用于社会网络分析。我们对欧洲议会中政治团体的凝聚力给出了总体见解,探讨了不同政策领域的联盟形成方式是否相同,并研究了欧洲议会议员的转发行为与他们的共同投票模式在多大程度上相符。我们工作中一个新颖有趣的方面是共同投票模式和转发模式之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be9e/5106041/8bdeb395510b/pone.0166586.g001.jpg

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