Systematic Edge Uncertainty

Simulating systematic bias in attributed social networks and its effects on rankings of minority nodes

In this paper, we introduce a model for systematic edge uncertainty in attributed networks. Our model enables us to distinguish between erroneous edge observations that are driven by external node attributes or the network structure itself, thereby opening a path towards a systematic study of the effects of edge-uncertainty for various network analysis tasks.