论文标题
意见调查中多个选择问题的网络模型
A Network Model for Multiple Selection Questions in Opinion Surveys
论文作者
论文摘要
意见调查可以包含封闭的问题，受访者可以给出多个答案。我们建议将这些数据建模为顶点是合格项目的网络，而弧线是受访者。该表示形式开辟了使用复杂网络方法来检索信息的可能性，最突出的是使用聚类/社区检测技术来降低数据复杂性的可能性。我们将利用模块化函数的隐式零假设，即，在没有任何优先配对的情况下选择项目，以显示如何通过p值的通常计算来检验该假设。我们说明将其应用于欧洲衡量计数据的方法。在那里，关于国家关注的问题最多可以选择两种。我们将表明，社区聚类团体在一起的关注点可以以一致的方式和一般方式来解释，例如经济，安全和福利问题。此外，我们将表明，以这种方式可以确定社会部门之间的分裂。
Opinion surveys can contain closed questions to which respondents can give multiple answers. We propose to model these data as networks in which vertices are eligible items and arcs are respondents. This representation opens up the possibility of using complex networks methodologies to retrieve information and most prominently, the possibility of using clustering/community detection techniques to reduce data complexity. We will take advantage of the implicit null hypothesis of the modularity function, namely, that items are chosen without any preferential pairing, to show how the hypothesis can be tested through the usual calculation of p-values. We illustrate the methodology applying it to Eurobarometer data. There, a question about national concerns can receive up to two selections. We will show that community clustering groups together concerns that can be interpreted in consistent way and in general terms, such as Economy, Security and Welfare issues. Moreover, we will show that in this way cleavages between social sectors can be determined.
