Programming Language: Python

Namespace/Package Name: networkx

Class/Type: Graph

Examples at hotexamples.com: 60

Python NetworkX is a package library used for creating, manipulating, and analyzing complex networks and graphs. It allows you to create graph objects and define nodes and edges with different attributes, visualize graphs using various layout algorithms and plot functions, and perform complex network analysis and algorithms.

**Example 1:** Creating a simple graph using NetworkX library

``` python

import networkx as nx

# Creating a graph object

G = nx.Graph()

# Adding nodes

G.add_node("A")

G.add_node("B")

G.add_node("C")

# Adding edges

G.add_edge("A", "B")

G.add_edge("B", "C")

# Print the graph

print(G.nodes())

print(G.edges())

``` python

import networkx as nx

# Creating a graph object

G = nx.Graph()

# Adding nodes

G.add_node("A")

G.add_node("B")

G.add_node("C")

# Adding edges

G.add_edge("A", "B")

G.add_edge("B", "C")

# Print the graph

print(G.nodes())

print(G.edges())

python import networkx as nx # Creating a graph object G = nx.Graph() # Adding nodes and edges G.add_edge("A", "B") G.add_edge("B", "C") G.add_edge("B", "D") # Computing network attributes print("Degree of node B:", G.degree("B")) print("Diameter of the network:", nx.diameter(G)) print("Clustering coefficient of node B:", nx.clustering(G, "B")) ``` These examples demonstrate the use of the NetworkX library for creating, manipulating, and analyzing graphs. The library is widely used in different fields such as social network analysis, transportation network analysis, biological network analysis, etc.Example 2:Network analysis using NetworkX library

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