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Graph theory
Basically, Pinterest works by linking keywords with pictures and pins.it use Graph theory
knowledge to Make linkage with two things. For example, you find your favorite recipe and key ‘Recipe’
so, Graph theory link every pictures and pins all about ‘Recipe’ combines together in result pages.
In mathematics, graph theory is the study of graphs, which are mathematical structures used to
relations between objects. A graph in this context is made up of vertices, nodes, or points which are
connected by edges, arcs, or lines. A graph may be undirected, meaning that there is no distinction
between the two vertices associated with each edge, or its edges may be directed from one vertex to
another; see Graph (discrete mathematics) for more detailed definitions and for other variations in the
types of graph that are commonly considered. Graphs are one of the prime objects of study in discrete
mathematics.
Graph theory definition
A graph is an ordered pair G=(V,E)G=(V,E) consisting of a nonempty set VV (called the vertices) and a set
EE (called the edges) of two-element subsets of V.
Characteristics of graphs
Adjacent node: A node ‘v’ is said to be adjacent node of node ‘u’ if and only if there exists an edge
between ‘u’ and ‘v’.
Degree of a node: In an undirected graph the number of nodes incident on a node is the degree of the
node. In case of directed graph ,Indegree of the node is the number of arriving edges to a node.
Outdegree of the node is the number of departing edges to a node.
Path: A path of length ‘n’ from node ‘u’ to node ‘v’ is defined as sequence of n+1 nodes.
P(u,v)=(v0,v1,v2,v3…….vn)
A path is simple if all the nodes are distinct,exception is source and destination are same.
Isolated node: A node with degree 0 is known as isolated node.Isolated node can be found by Breadth
first search(BFS). It finds its application in LAN network in finding whether a system is connected or not.
Types of graphs
Directed graph:
A graph in which the direction of the edge is defined to a particular node is a directed graph.
Directed Acyclic graph: It is a directed graph with no cycle. For a vertex ‘v’ in DAG there is no directed
edge starting and ending with vertex ‘v’.
Tree: A tree is just a restricted form of graph. That is, it is a DAG with a restriction that a child can have
only one parent.
Undirected graph:
A graph in which the direction of the edge is not defined. So if an edge exists between node ‘u’ and ‘v’,
then there is a path from node ‘u’ to ‘v’ and vice versa.
Connected graph: A graph is connected when there is a path between every pair of vertices. In a
connected graph there is no unreachable node.
Complete graph: A graph in which each pair of graph vertices is connected by an edge. In other words,
every node ‘u’ is adjacent to every other node ‘v’ in graph ‘G’.
Biconnected graph: A connected graph which cannot be broken down into any further pieces by
deletion of any vertex. It is a graph with no articulation point.
Recipe
Graph theory

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Graph

  • 1. Graph theory Basically, Pinterest works by linking keywords with pictures and pins.it use Graph theory knowledge to Make linkage with two things. For example, you find your favorite recipe and key ‘Recipe’ so, Graph theory link every pictures and pins all about ‘Recipe’ combines together in result pages. In mathematics, graph theory is the study of graphs, which are mathematical structures used to relations between objects. A graph in this context is made up of vertices, nodes, or points which are connected by edges, arcs, or lines. A graph may be undirected, meaning that there is no distinction between the two vertices associated with each edge, or its edges may be directed from one vertex to another; see Graph (discrete mathematics) for more detailed definitions and for other variations in the types of graph that are commonly considered. Graphs are one of the prime objects of study in discrete mathematics. Graph theory definition A graph is an ordered pair G=(V,E)G=(V,E) consisting of a nonempty set VV (called the vertices) and a set EE (called the edges) of two-element subsets of V. Characteristics of graphs Adjacent node: A node ‘v’ is said to be adjacent node of node ‘u’ if and only if there exists an edge between ‘u’ and ‘v’. Degree of a node: In an undirected graph the number of nodes incident on a node is the degree of the node. In case of directed graph ,Indegree of the node is the number of arriving edges to a node. Outdegree of the node is the number of departing edges to a node. Path: A path of length ‘n’ from node ‘u’ to node ‘v’ is defined as sequence of n+1 nodes. P(u,v)=(v0,v1,v2,v3…….vn) A path is simple if all the nodes are distinct,exception is source and destination are same. Isolated node: A node with degree 0 is known as isolated node.Isolated node can be found by Breadth first search(BFS). It finds its application in LAN network in finding whether a system is connected or not.
  • 2. Types of graphs Directed graph: A graph in which the direction of the edge is defined to a particular node is a directed graph. Directed Acyclic graph: It is a directed graph with no cycle. For a vertex ‘v’ in DAG there is no directed edge starting and ending with vertex ‘v’. Tree: A tree is just a restricted form of graph. That is, it is a DAG with a restriction that a child can have only one parent. Undirected graph: A graph in which the direction of the edge is not defined. So if an edge exists between node ‘u’ and ‘v’, then there is a path from node ‘u’ to ‘v’ and vice versa. Connected graph: A graph is connected when there is a path between every pair of vertices. In a connected graph there is no unreachable node. Complete graph: A graph in which each pair of graph vertices is connected by an edge. In other words, every node ‘u’ is adjacent to every other node ‘v’ in graph ‘G’. Biconnected graph: A connected graph which cannot be broken down into any further pieces by deletion of any vertex. It is a graph with no articulation point.