Investigating opinion dynamics using the FreqNet model

Human life is based on social interactions. These interactions are dictated by the attitudes and beliefs people have. Personal attitudes and beliefs are not constant over time but are influenced on an individual level. The interactions with friends, coworkers and others can influence one?s opinion. Such an attitude change can occur during discussions. It is hypothesised that these changes are such that when two individuals meet, the closer their opinions are, the more likely their opinions converge, Sherif and Hovland (year). On the other hand, when they differ a lot from each other they will experience contrasting opinion, and as a result diverge opinions, resulting in a polarisation

Visualising interactions in bi- and triadditive models for three-way tables

This paper concerns the visualisation of interaction in three-way arrays. It extends some standard ways of visualising biadditive modelling for two-way data to the case of three-way data. Three-way interaction is modelled by the Parafac method as applied to interaction arrays that have main effects and biadditive terms removed. These interactions are visualised in three and two dimensions. We introduce some ideas to reduce visual overload that can occur when the data array has many entries. Details are given on the interpretation of a novel way of representing rank-three interactions accurately in two dimensions. The discussion has implications regarding interpreting the concept of interaction in three-way arrays