What is the Difference Between Graph and Tree?
🆚 Go to Comparative Table 🆚The main difference between a graph and a tree lies in their structure and the way they represent data. Here are the key differences between the two:
- Structure: A graph is a set of vertices (or nodes) and edges, with no specific rules for connecting the nodes, allowing for cycles or loops in the connections. A tree, on the other hand, is a hierarchical and nonlinear data structure with nodes and edges, where each node has at most one parent, except for the root node, which has no parent.
- Loops: Graphs can form cycles or loops, as there are no constraints on how the nodes can be connected. Trees do not form cycles or loops, as they have a unique node called the root, and each node can have at most one parent.
- Graphs: Graphs are used to represent connections between objects or entities in a more general, network-like structure. They can be directed or undirected, with directed graphs having unidirectional edges and undirected graphs having bidirectional edges.
- Trees: Trees are used to represent data that has a hierarchical structure, such as file systems, organization charts, and family trees. They follow a specific structure, with each node having at most one parent, except for the root node, which has no parent.
In summary, graphs are more general and can have loops, whereas trees are hierarchical and do not form loops. Graphs can be directed or undirected, while trees are unidirectional.
Comparative Table: Graph vs Tree
Here is a table summarizing the differences between a graph and a tree:
Feature | Graph | Tree |
---|---|---|
Definition | A graph is a non-linear data structure that | A tree is a non-linear data structure that |
represents a collection of vertices (nodes) | represents a hierarchy and has a unique | |
and edges (connections between vertices). | root node. | |
Structure | Can be connected or disconnected, can have | Has only one path between two vertices |
cycles or loops. | Loops are not allowed. | |
Contains directed and/or undirected edges | ||
Directed edges are uni-directional, | ||
undirected edges are bi-directional. | ||
Traversal | Graphs have two traversal techniques: | Trees have three traversal techniques: |
Techniques | breadth-first search and depth-first search. | pre-order, in-order, and post-order. |
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- Complete Binary Tree vs Full Binary Tree
- Carbon vs Graphite
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- TreeSet vs TreeMap
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- Phoneme vs Grapheme
- Diamond vs Graphite
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