Final answer:
Adjacency matrices are most similar to Arrays. They are a 2D array representation of a graph where each cell indicates the presence of an edge between vertices. This structure enables quick access to connectivity information.
Step-by-step explanation:
Adjacency matrices are most similar to D) Arrays. An adjacency matrix is a 2D array that is used to represent a graph in computer science. Each cell in the matrix represents the presence or absence of an edge between the vertices in a graph. For example, if there is an edge between vertex 'i' and vertex 'j', then the matrix cell at [i][j] would have a value indicating this connection (such as 1), and a 0 otherwise.
Unlike linked lists, stacks, and queues which are linear data structures used to hold a collection of elements, arrays are used to store data elements in a structured format. In the case of adjacency matrices, the array structure allows for quick access to determine if a connection exists.