What can maritime shipping learn from brain network science?

Around 80 per cent of global trade by volume is transported by sea, and thus the connectivity network of the maritime transportation system is fundamental to the world economy and to the functioning of society. To better exploit new international shipping routes, the current ones need to be analysed: What are the principles behind their network organisation? What mechanisms determine the complex system association with international trade? However, there is another complex system that, similarly to maritime transportation systems, links the navigability of its network structure and organisation to its efficient performance in the environment. This complex system is: the brain. The motivation for this comparative and trans-disciplinary research came from the exchange during an international network science conference, followed by three years of collaborative work on the topic.

"Many complex systems share basic rules of self-organisation and economical functionality. When I examined the maritime network structure of the Chinese colleagues at the conference, I advanced the hypothesis that its structure displays a trade-off between high transportation efficiency and low wiring cost, similarly to the one we know is present in brain networks. We combined our knowledge in network science, maritime science and data processing, which led to new insights into the maritime network structural organisation complexity and its relevance to international trade," explains Dr. Cannistraci, research group leader for biomedical cybernetics at BIOTEC, TU Dresden. "An important result of this study is the development of new computational network measures for the investigation of modular connectivity and structural core organisation within complex networks in general, which here we applied to maritime science. In future projects, I plan to use these newly developed methods in my research at the BIOTEC where I focus on computational and network systems in biomedicine. They might turn out to be particularly useful for brain network organization analysis and the development of markers for brain diseases, such as depression and Alzheimer."