Bipartite Graphs — When Vertices Form Two Friendly Teams
🌱 What Is a Bipartite Graph? (In Very Simple Words)
A bipartite graph is a graph whose vertices can be divided into two separate sets, such that:
👉 every edge goes from one set to the other,
👉 and never inside the same set.
So, edges always connect:
Set A → Set B
and never
Set A → Set A or Set B → Set B
Think of it as two groups that communicate only across the groups, not within.
🖼️ Diagram of a Bipartite Graph
Here’s a clean, simple diagram with two sets (Left and Right):
Set A Set B
-------- --------
A1 B1
A2 B2
A3 B3
| \ / |
| \ / |
| \ / |
| \ / |
------\ /------
\ /
\ /
Edges go only between the two sets, never within the same side.
🎯 A Simple Everyday Analogy
Think of a job portal:
- On one side, you have job seekers.
- On the other side, you have companies.
A job seeker connects to a company by applying for a job.
But a job seeker does not “connect” to another job seeker through the portal.
Companies also do not connect to other companies this way.
This forms a perfect real-life example of a bipartite interaction.
🌈 Another Easy Analogy: Boys vs. Girls in a Dance Match
Imagine a school dance competition.
Boys dance only with girls,
and girls dance only with boys.
Each dance pair becomes an edge.
That’s also a bipartite graph.
🧠 How to Check if a Graph Is Bipartite
Here’s a simple mental trick:
- Try coloring the graph using two colors, say Red and Blue.
- Color one vertex Red.
- Color all neighbors Blue.
- Color their neighbors Red.
- If you never get stuck (two connected vertices having the same color),
then the graph is bipartite.
This method works because bipartite graphs are exactly the graphs that can be 2-colored.
🧩 Where Do Bipartite Graphs Appear?
You’ll find them in many real problems:
- Matching jobs to candidates
- Pairing students with mentors
- Network flow problems
- Scheduling tasks
- Recommendation systems (people vs. movies)
They show up more often than we realize!
🏗️ Formal but Easy-to-Understand Definition
A graph G(V, E) is bipartite if:
- V can be divided into two disjoint sets:
V = V₁ ∪ V₂, - and every edge connects a vertex in V₁ to a vertex in V₂.
No edges exist between vertices inside V₁ or inside V₂.
🌟 Special Types of Bipartite Graphs
1. Complete Bipartite Graph (Kₘₙ)
Every vertex in Set A connects to every vertex in Set B.
Example (K₃₂):
A1 ---- B1
A2 ---- B1
A3 ---- B1
A1 ---- B2
A2 ---- B2
A3 ---- B2
A perfect “everyone meets everyone” scenario.
