Agent-based null models for examining experimental social interaction networks.

ABSTRACT: We consider the analysis of temporal data arising from online interactive social experiments, which is complicated by the fact that classical independence assumptions about the observations are not satisfied. Therefore, we propose an approach that compares the output of a fitted (linear) model from the observed interaction data to that generated by an assumed agent-based null model. This allows us to discover, for example, the extent to which the structure of social interactions differs from that of random interactions. Moreover, we provide network visualisations that identify the extent of ingroup favouritism and reciprocity as well as particular individuals whose behaviour differs markedly from the norm. We specifically consider experimental data collected via the novel Virtual Interacti

SUBMITTER: Fennell SC 

PROVIDER: S-EPMC10066360 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature