Identifying critical sections of the human circulatory system via network dynamics

Abstract

Network analysis provides a robust framework for analyzing intricate systems that can be found in nature and society in general. Recent advances for analyzing the flow of information between nodes, particularly centralities, have expanded in its applicability and made the study of complex systems more efficient. In this paper, we introduce an application of current centrality specifically tailored to biological networks, namely the human circulatory system. By employing the absolute edge current centrality, we aim to identify key components within these networks and uncover potential bottlenecks in the system.