Examples on Graph Theory in Network Theory explained with following Timestamps:
0:00 - Examples on Graph Theory - Network Theory
0:26 - 1 Example on Graph Theory (Example of Cut Set Matrix)
6:35 - 2 Example on Graph Theory (Example of Cut Set Matrix)
11:32 - 3 Example on Graph Theory (Example of Tie Set Matrix)
15:37 - Summery

Examples on Graph Theory in Network Theory explained with following outlines:
0. Network Theory
1. Graph Theory
2. Examples on Graph Theory
3. Cut Set Matrix
3. Example of Cut Set Matrix
4. Tie Set Matrix
5. Example of Tie Set Matrix

Engineering Funda channel is all about Engineering and Technology. Here this video is a part of Network Theory / Circuit and Network.

#GraphTheory #NetworkTheory #CircuitAndNetwork #EngineeringFunda

Details of Graph Theory Terminologies:

Graph Theory Terminologies (Node, Branch, Degree of Node, Tree, Co Tree, Twig & Link)
Here are some of the common terminologies used in graph theory:

Node/Vertex: A node, also known as a vertex, is a fundamental unit of a graph. It is a point or a location in a graph that represents an entity, such as a person, place, or thing.

Edge/Branch: An edge, also known as a branch, is a connection between two nodes in a graph. It represents the relationship between two entities.

Degree of Node: The degree of a node is the number of edges connected to it. In an undirected graph, the degree is the number of adjacent edges, while in a directed graph, the degree is the number of incoming and outgoing edges.

Tree: A tree is a type of graph where each node has a maximum of one parent node. It is a connected graph with no cycles. A tree can be used to represent hierarchical relationships, such as a family tree.

Co-Tree: A co-tree is the complement of a tree in a graph. It is a set of edges that are not present in the tree.

Twig: A twig is a subgraph of a tree that consists of a node and all its descendants.

Link: A link is a subgraph of a graph that connects two nodes without creating a cycle. It is a path between two nodes in a graph.

These terminologies are used to describe and analyze graphs, and they are essential for understanding the behavior of graphs in different applications.