Layer Definition and Discovery in Multilayer Network Datasets

The real world systems modelled by multilayer networks are frequently characterised by a high level of complexity. Understanding the most suitable definition of layer that can help a user is a significant challenge. Due to the scale of many datasets, even finding the entities and relationships that are of interest to the user is difficult. In this work we describe the issues with working with large multilayer data sources, based on the development of a multilayer network visualization prototype. We present an in-progress prototype and discuss future research directions for creating multilayer networks visualization of data extracted from massive sources.