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Graphs, as a part of Data Structures within Physical Science and Computer Science in the context of Science, are visual representations used to model relationships between objects or data points. They consist of nodes (also called vertices) connected by edges, allowing for the illustration of complex connections. In this hierarchical context, graphs serve as a powerful tool for representing and analyzing data structures found in various scientific disciplines. For example, in Computer Science, graphs are used to model networks, optimize routes, and represent relationships in databases. In Physical Science, graphs can illustrate the behavior of physical systems such as electrical circuits or molecular structures. Within this hierarchy, the study of graphs encompasses various topics including graph traversal algorithms, graph theory, and graph representations like adjacency lists and matrices. These techniques enable researchers and practitioners to analyze and understand complex relationships in an intuitive way, making graphs a vital component of data structures in Science and Computer Science.