Directed or Undirected Network


This post aims to describe the difference between directed and undirected networks and provides a reproducible code to draw directed/undirected network charts.

Network charts can be split into 2 main categories: directed and undirected networks.

If it is directed, there is a notion of flow between 2 nodes, thus leaving a place to go somewhere else. Like money goes from company A to company B. Thatโ€™s why you can see (kind of) arrows on the left chart, it gives the direction. The flow goes from B to A for example.

If it is undirected, there is just a link between 2 nodes, like mister A and mister B are friend.

When you build your graph, you have to use the function that suits your need: Graph() is used for undirected (default), DiGraph() is used for directed graph.

# libraries
import pandas as pd
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
 
# ------- DIRECTED
 
# Build a dataframe with your connections
# This time a pair can appear 2 times, in one side or in the other!
df = pd.DataFrame({ 'from':['D', 'A', 'B', 'C','A'], 'to':['A', 'D', 'A', 'E','C']})
 
# Build your graph. Note that we use the DiGraph function to create the graph!
G=nx.from_pandas_edgelist(df, 'from', 'to', create_using=nx.DiGraph() )
 
# Make the graph
nx.draw(G, with_labels=True, node_size=1500, alpha=0.3, arrows=True)
plt.title("Directed")
plt.show()
 
# ------- UNDIRECTED
 
# Build a dataframe with your connections
# This time a pair can appear 2 times, in one side or in the other!
df = pd.DataFrame({ 'from':['D', 'A', 'B', 'C','A'], 'to':['A', 'D', 'A', 'E','C']})
 
# Build your graph. Note that we use the Graph function to create the graph!
G=nx.from_pandas_edgelist(df, 'from', 'to', create_using=nx.Graph() )
 
# Make the graph
nx.draw(G, with_labels=True, node_size=1500, alpha=0.3, arrows=True)
plt.title("UN-Directed")
plt.show()

Chord Diagram

Network

Sankey

Arc Diagram

Edge Bundling

Contact & Edit

๐Ÿ‘‹ This document is a work by Yan Holtz. Any feedback is highly encouraged. You can fill an issue on Github, drop me a message onTwitter, or send an email pasting yan.holtz.data with gmail.com.

This page is just a jupyter notebook, you can edit it here. Please help me making this website better ๐Ÿ™!

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