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Network Representations

General Mathematics
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Network Representations

General Mathematics
01 May 2026

Networks: Definitions, Representation, and Weights

Formal Definition

A graph $G = (V, E)$ consists of:
- $V$ = a non-empty set of vertices (nodes)
- $E$ = a set of edges, each connecting a pair of vertices

Ways to Represent a Network

1. Diagram (Graph Drawing)

The most intuitive: vertices drawn as circles/dots, edges as lines (or arrows for directed).

2. Adjacency Matrix

For $n$ vertices, an $n \times n$ matrix where $a_{ij}$ = number of edges from $i$ to $j$.

3. Edge List

A table listing each edge with its two endpoints and weight.

Weighted Graphs

A weighted graph assigns a numerical weight to each edge. The weight may represent:
- Distance (km)
- Time (minutes)
- Cost (\$)
- Capacity (litres/sec)

$$\text{Example: } e(A, B) = 12 \text{ km}$$

Worked Example — Setting Up an Adjacency Matrix

Four cities: 1, 2, 3, 4. Connections (undirected):
- 1–2, 1–3, 2–3, 2–4, 3–4

$$A = \begin{array}{c|cccc} & 1 & 2 & 3 & 4 \ \hline 1 & 0 & 1 & 1 & 0 \ 2 & 1 & 0 & 1 & 1 \ 3 & 1 & 1 & 0 & 1 \ 4 & 0 & 1 & 1 & 0 \end{array}$$

The matrix is symmetric (undirected). Degrees: $\deg(1)=2$, $\deg(2)=3$, $\deg(3)=3$, $\deg(4)=2$.

Edge Weight Table

Edge Weight (km)
1–2 5
1–3 8
2–3 6
2–4 7
3–4 4

Directed vs Undirected

In a directed graph, $a_{ij} \neq a_{ji}$ in general. A one-way road from A to B gives $a_{AB} = 1$ but $a_{BA} = 0$.

REMEMBER: In an undirected adjacency matrix, the matrix is always symmetric about the main diagonal. Use this as a self-check.

EXAM TIP: When reading a network diagram, systematically list all edges before constructing an adjacency matrix or computing degrees. Missing one edge causes cascading errors.

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