识别投票网络中的底层结构和动态相互作用
Identifying the underlying structure and dynamic interactions in a voting network
摘要：
我们分析了一个特定的投票网络的结构和行为，使用基于动态结构的方法，借鉴了Q分析和社会网络理论。我们的实证重点是在欧洲歌唱大赛超过20年的时间。对于这种多元文化的比赛，关键问题之一是如何判断一首歌的质量，以及如何产生投票组。我们调查的结构，可以确定纯粹基于网络的拓扑结构的赢家。这提供了一个基本框架，以确定与成为赢家相关的特征是什么，并可能有助于为质量等主观衡量标准建立一个同质标准。此外，我们衡量投票集团的重要性，并提出了一个动态模型的基础上不断变化的多维连接措施，以揭示竞争中形成的新兴社区结构。最后，我们研究了网络所表现出的动态行为，以了解投票偏好的聚类以及局部和全局属性之间的关系。
英文摘要：
We analyse the structure and behaviour of a specific voting network using a dynamic structure-based methodology which draws on Q-Analysis and social network theory. Our empirical focus is on the Eurovision Song Contest over a period of 20 years. For a multicultural contest of this kind, one of the key questions is how the quality of a song is judged and how voting groups emerge. We investigate structures that may identify the winner based purely on the topology of the network. This provides a basic framework to identify what the characteristics associated with becoming a winner are, and may help to establish a homogenous criterion for subjective measures such as quality. Further, we measure the importance of voting cliques, and present a dynamic model based on a changing multidimensional measure of connectivity in order to reveal the formation of emerging community structure within the contest. Finally, we study the dynamic behaviour exhibited by the network in order to understand the clustering of voting preferences and the relationship between local and global properties.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
