7 citations · 9 across the 2 of their papers we have counts for
7 papers
The sensitivity of the Deffuant model to measurement error
Dino Carpentras, Michael Quayle
Opinion dynamics models have an enormous potential for studying current phenomena such as vaccine hesitancy. Unfortunately, to date, most of the models have little to no empirical…
Detect opinion-based groups and reveal polarisation in survey data
Alejandro Dinkelberg, David JP O'Sullivan, Michael Quayle +1
Networks, representing attitudinal survey data, expose the structure of opinion-based groups. We make use of these network projections to identify the groups reliably through commu…
Identifying opinion-based groups from survey data: a bipartite network approach
Pádraig MacCarron, Paul J. Maher, Michael Quayle
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 agreemen…
A new degree of freedom for opinion dynamics models: the arbitrariness of scales
Dino Carpentras, Alejandro Dinkelberg, Michael Quayle
Opinion dynamics models have been developed to study and predict the evolution of public opinion. Intensive research has been carried out on these models, especially exploring the…
A generalised mean-field approximation for the Deffuant opinion dynamics model on networks
Susan C. Fennell, Kevin Burke, Michael Quayle +1
When the interactions of agents on a network are assumed to follow the Deffuant opinion dynamics model, the outcomes are known to depend on the structure of the underlying network.…
Agreement Threshold on Axelrod's model of Cultural Dissemination
Pádraig Mac Carron, Paul J. Maher, Susan Fennell +4
Shared opinions are an important feature in the formation of social groups. In this paper, we use the Axelrod model of cultural dissemination to represent opinion-based groups. In…