In this thesis we explore the interdisciplinary applications of complex network theory, by looking at how it has facilitated the analysis of numerous academic fields and by proposing new ways for the analysis of container shipping networks, artistic
influence and economics and financial systems. We consistently use the same concepts across the various applications, built around centrality and community
detection, but we adapt them depending on the application in order to illustrate how similar tools can provide a significant insight into the system in question.