论文标题
从调查数据中识别基于意见的小组：两分网络方法
Identifying opinion-based groups from survey data: a bipartite network approach
论文作者
论文摘要
一项调查可以由两部分网络代表，因为它具有两种类型的节点，参与者和项目，其中参与者只能与项目互动。我们介绍了一个协议门槛，以最少对共享回应联系的参与者的预测，以确定基于意见的群体。我们表明，在美国国家选举研究中，这可以确定沿政治态度的两极分化。我们还采取了与参与者对他们的反应有关的态度的预测。这可以用来显示哪些态度通常在不同的国家或社区中共同存在。
A survey can be represented by a bipartite network as it has two types of nodes, participants and items in which participants can only interact with items. We introduce an agreement threshold to take a minimal projection of the participants linked by shared responses in order to identify opinion-based groups. We show that in American National Election Studies-data, this can identify polarisation along political attitudes. We also take a projection of attitudes that are linked by how participants respond to them. This can be used to show which attitudes are commonly held together in different countries or communities.
