Networks occur in a large variety of disciplines, e.g. social networks, communication networks, gene regulatory networks, disease transmission networks, financial networks, power networks, etc. Common problems are how to model, map and measure the network, how to understand and adjust to network evolution and dynamics, and how network structure affects information flow and robustness/resilience of networks. These problems have often been studied in each discipline individually. In this workshop, we bring together researchers and methodologies of network analysis from three disciplines, to build on the similarities and contrasts among their approaches.