Difference between Tree and Graph
Programmers are regularly inspired by the Tree vs Graph comparison. In the first place, realize that trees and Graphs are both non-linear, non-primitive types of data structure.
Both use hubs to address many designs that are utilized to tackle genuine issues but in an unexpected way. The tree utilizes the various levelled model to address its design, while a diagram utilizes the organization model to represent its structure.
Types of Non-Linear Data Structure
There are two types of non-linear data structure:
- Tree
- Graph
1. Tree
A tree is a hierarchical model data structure and it is a collection of a finite number of data elements. Here data elements are nodes. In the tree data structure, the main node is the root node, the topmost node of the structure, and all the other nodes are its children, grandchildren, and so on nodes.
There are many types of tree data structures. How elements are stored in the tree data structure depends upon the specific type of the same.
Tree Properties
- Root Node
- Edge
- Parent Node
- Child Node
- Leaf Node
- SubtreeLevel
2. Graph
A graph is also a non-linear data structure. It is a collection of two sets; vertices and edges, where vertices are the nodes and edges are the set of elements that connect the two vertices.
The graph data structure follows a network model to represent its structure and the network model can form a closed loop. There are many types of graphs and how the vertices are connected with edges depends upon the specific type of graphs.
Properties of a Graph
- Edges
- Vertices
- Cycle
Difference between tree and graph:
Conclusion
That is the finish of the Tree vs Graph discussion; Also the distinction between tree and graph. To summarize, although the two trees and graphs are non-direct kinds of information structures, the tree information structure follows a legitimate construction while there is no particular design followed by a graph.
