B0756
Title: A framework for modelling multiplex networks
Authors: Swati Chandna - Birkbeck, University of London (United Kingdom) [presenting]
Svante Janson - Uppsala University (Sweden)
Sofia Olhede - EPFL (Switzerland)
Abstract: Consider the setting where multiple networks are observed on the same set of nodes, also known as multiplex networks. Such data may arise in the form of networks observed over time, e.g., friendship networks, or from different subjects at a given point in time, e.g. structural brain networks from multiple individuals. Given such data, it is crucial to quantify dependence between pairs of networks and have a framework which allows for the empirical description of correlated networks. We describe an approach to modelling multiplex networks with two layers and show how it leads to simpler models that generate correlated networks.