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.
@article{arxiv.2012.11392,
title = {Identifying opinion-based groups from survey data: a bipartite network approach},
author = {Pádraig MacCarron and Paul J. Maher and Michael Quayle},
journal= {arXiv preprint arXiv:2012.11392},
year = {2020}
}