Western Governors University (WGU) ICSC2100 C949 Data Structures and Algorithms I Practice Exam

A graph is defined in data structures as a collection of nodes, also known as vertices, that are connected by edges. This concept allows for the representation of relationships and connections between different entities in a networked structure. Each node represents an individual entity, while the edges signify the connections or relationships between these entities.

Graphs can be directed or undirected, weighted or unweighted, depending on how the connections between the nodes are established and whether they have specific values associated with them. This flexible structure makes graphs a powerful tool for modeling various real-world problems, including social networks, transportation systems, and reference structures in programming.

The other options do not define a graph. A type of sorting algorithm refers to algorithms used to arrange elements in a specific order, such as merge sort or quicksort. A measure of algorithm efficiency typically pertains to concepts like time complexity or space complexity, which evaluate how well an algorithm performs. A method for data encryption deals with techniques to secure data by converting it into a format that cannot be easily understood without the correct decryption process. None of these options accurately describe the fundamental characteristics of a graph in data structures.