Question 1
Learning objective
Graphs: Be aware of a graph as a data structure used to represent more complex relationships. Be familiar with typical uses for graphs. Be able to explain the terms: • graph • weighted graph • vertex/node • edge/arc • undirected graph • directed graph. Know how an adjacency matrix and an adjacency list may be used to represent a graph. Be able to compare the use of adjacency matrices and adjacency lists.
Read the explanation, check the common trap, then practise with flashcards and questions.
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Topic
Graphs
Subtopic
Graphs
Aqa A Level Computer ScienceFundamentals of data structures
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Quick explanation
Graphs: Be aware of a graph as a data structure used to represent more complex relationships. Be familiar with typical uses for graphs. Be able to explain the terms: • graph • weighted graph • vertex/node • edge/arc • undirected graph • directed graph. Know how an adjacency matrix and an adjacency list may be used to represent a graph. Be able to compare the use of adjacency matrices and adjacency lists
- This point belongs to Graphs, especially Graphs.
- You need to be able to graphs: Be aware of a graph as a data structure used to represent more complex relationships. Be familiar with typical uses for graphs. Be able to explain the terms: • graph • weighted graph • vertex/node • edge/arc • undirected graph • directed graph. Know how an adjacency matrix and an adjacency list may be used to represent a graph. Be able to compare the use of adjacency matrices and adjacency lists.
- Use the linked flashcards and practice questions to check recall, then practise applying the idea in an exam-style answer.
Why it matters
This objective helps connect Graphs to exam-style questions, flashcards, and revision notes for Graphs.
Quick student answer
What is a graph in computer science?
Direct answer
A data structure used to represent relationships between items
Key terms
- Adjacency matrix: A two-dimensional table used to represent connections between pairs of vertices in a graph.
- Adjacency list: A representation in which each vertex is associated with a list of the vertices connected to it.
Common trap
Confusing vertices with edges: A vertex or node is an item or point; an edge or arc is the connection between vertices.
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