Exploring Complex Networks through Multidimensional Analysis

Abstract

Complex networks play a pivotal role in understanding and modeling various interconnected systems, ranging from social networks to biological networks and technological infrastructures. This abstract introduces the concept of exploring complex networks through multidimensional analysis, a multifaceted approach that delves into the intricate structures and dynamics of these networks.Multidimensional analysis extends beyond traditional network analysis techniques by considering not only the topological properties of nodes and edges but also incorporating additional dimensions, such as node attributes, temporal dynamics, and community structures. By integrating these diverse dimensions, researchers can uncover hidden patterns, predict network behavior, and gain a deeper understanding of complex systems.This research provides an overview of the key aspects of multidimensional analysis, including the methods and tools employed for studying complex networks. It highlights the significance of this approach in addressing real-world challenges, such as identifying influential nodes in social networks, predicting disease spread in epidemiological networks, and optimizing communication networks for efficiency and resilience