Subjects · Leaving Cert Applied Maths
Leaving Cert Applied Maths: Graphs & network terminology
How often Graphs & network terminology comes up on the Applied Maths papers, every year it was asked, and questions to try.
HL Asked on 1 of the last 3 Higher Level papers, most recently in 2023.
OL Asked on 3 of the last 3 Ordinary Level papers, most recently in 2025. banker
Quick ones on Graphs & network terminology.
- A path that visits every vertex exactly once
- A closed path that ends at its start vertex
- A single edge joining a vertex to itself
- The number of paths passing through it
- The total weight of the edges at it
- The number of edges meeting at it
- A walk in which no vertex is repeated
- A walk that uses every edge exactly once
- A walk that ends where it started
Show the answers
(a) A closed path that ends at its start vertex
(b) The number of edges meeting at it
(c) A walk in which no vertex is repeated
Higher Level
Asked on 1 of the last 3 Higher Level papers, most recently in 2023.
Every paper, year by year
| Year | Where it came up |
|---|---|
| 2025 | Not asked |
| 2024 | Not asked |
| 2023 | Q1 |
Links open the State Examinations Commission’s paper for that year.
More Graphs & network terminology questions
Graphs & network terminology, 2 marks
What is a connected graph?
- One where every vertex is joined directly to every other
- One that contains no cycles
- One with a path between every pair of vertices
Show the answer
One with a path between every pair of vertices
Connected means you can get from any vertex to any other, possibly through others. Every pair joined directly is a complete graph; no cycles describes a tree or forest.
Graphs & network terminology, 2 marks
What is a simple graph?
- One where every vertex has degree 2
- One with no loops and no multiple edges
- One with no cycles
Show the answer
One with no loops and no multiple edges
Simple means at most one edge between any two vertices and no edge from a vertex to itself. Its adjacency matrix has only 0s and 1s, with 0s on the diagonal.
Ordinary Level
Asked on 3 of the last 3 Ordinary Level papers, most recently in 2025. banker
Every paper, year by year
| Year | Where it came up |
|---|---|
| 2025 | Q4 |
| 2024 | Q6 |
| 2023 | Q4 |
Links open the State Examinations Commission’s paper for that year.
More Graphs & network terminology questions
Graphs & network terminology, 2 marks
What is a cycle in a graph?
- A path that visits every vertex and stops
- A single edge with a weight
- A path that starts and ends at the same vertex
Show the answer
A path that starts and ends at the same vertex
A cycle is a closed path: it returns to where it began without repeating any other vertex, e.g. A to B to C and back to A.
Graphs & network terminology, 2 marks
What is a weighted graph?
- Every edge has an arrow, e.g. a one-way street
- Each edge carries a number, e.g. a distance
- Every vertex has the same degree, e.g. 3
Show the answer
Each edge carries a number, e.g. a distance
The weight on an edge can be a distance, time or cost. Algorithms like Prim, Kruskal and Dijkstra use these weights.
Graphs & network terminology, 3 marks
How does a network differ from a scale map?
- It shows only connections, not true positions
- It shows every bend and junction in each road
- It must be drawn to an exact scale
Show the answer
It shows only connections, not true positions
A network keeps only which places are joined and the weights on the joins. Positions and shapes on the page do not matter, unlike on a map.
Other Applied Maths topics
- Calculus & variable acceleration
- Connected particles & pulleys
- Constant acceleration (suvat)
- Dijkstra's algorithm
- Displacement & velocity graphs
- First-order difference equations
- Forces & Newton's laws
- Friction & inclined planes
- Horizontal circular motion
- Loans, savings & finance models
- Matrices & adjacency
- Minimum spanning trees
- Momentum & direct collisions
- Oblique collisions
- Projectile motion
- Recurrence relations & differences
- Reducing second-order DEs
- Resisted motion & drag
- Second-order difference equations
- Separable differential equations
- The modelling cycle & assumptions
- Vectors & the dot product
- Vertical circular motion
- Dimensional analysis
- Dynamic programming & Bellman
- Project scheduling & critical path
- Work, energy & conservation
- Greedy vs dynamic algorithms
- Hooke's law & elastic energy