Introduction to Complex Network Analysis with Python

Explore complex network theory, metrics, and analysis via Python's NetworkX. Gain insights into creating, visualizing, and applying networks in fields like machine learning and data analysis.

Intermediate

32 Lessons

Explore complex network theory, metrics, and analysis via Python's NetworkX. Gain insights into creating, visualizing, and applying networks in fields like machine learning and data analysis.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

5 Assessments

59 Playgrounds

14 Challenges

11 Quizzes

This course includes

5 Assessments

59 Playgrounds

14 Challenges

11 Quizzes

Course Overview

Complex networks are a powerful data structure capable of modeling several complex data relationships such as social media interactions, ecosystems, energy systems, and financial information. In this course, you’ll learn the basic theory behind complex networks and the metrics commonly used to analyze them. Then, you’ll learn how to create complex networks, visualize them, and calculate their analysis metrics using NetworkX, the most used Python library for complex network analysis. Finally, you’ll learn s...Show More

What You'll Learn

An understanding of complex networks and how to analyze them using Python

Hands-on experience with the NetworkX Python library for complex network analysis

Familiarity with the scikit-net library to apply machine learning algorithms to complex networks

The ability to load, analyze, visualize, and infer characteristics of complex networks using Python

What You'll Learn

An understanding of complex networks and how to analyze them using Python

Course Content

Introduction to Graphs and Complex Networks

Get familiar with complex networks, graph types, random graphs, and NetworkX for analysis.

Introduction to the Course

What Are Graphs?Basic Graph Types Complex Graph Types Random Graphs Complexity and Complex Networks

Assess Your Knowledge of Graphs and Complex Networks

Assessment

Graphs and Complex Networks in Python

Get started with representing, analyzing, visualizing, and saving complex networks using Python's NetworkX library.

Network Data Representations NetworkX Overview Saving and Plotting Networks with NetworkX Quiz: Graphs and Complex Networks in Python

Complex Networks Measurements

Examine various centrality metrics and their applications using Python for network analysis.

What Is Centrality?Degree Eigenvector Centrality The Katz Centrality The PageRank Algorithm The Closeness Centrality The Betweenness Centrality The Clustering Coefficient Quiz: Complex Networks Measurement

Assess Your Knowledge of Complex Networks in Python

Assessment

Random Graphs and Complex Networks Models

Grasp the fundamentals of small-world and scale-free network models, their properties, and generation techniques.

Small-World Networks Scale-Free Networks

Community Detection in Complex Networks

Take a closer look at community detection methods, including Louvain, sknet, and particle competition.

Community Definition The Louvain Algorithm Introduction to the sknet Package Particle Competition Algorithm

Assess Your Knowledge of Network Models and Community Detection

Assessment

Similarity in Complex Networks

2 Lessons

Tackle similarity concepts in complex networks and their use in link prediction.

Assess Your Knowledge of Similarity in Complex Networks

Assessment

Complex Network Embeddings

4 Lessons

Master the steps to generate network embeddings with DeepWalk, Node2Vec, and Graph2Vec algorithms.

Assess Your Knowledge of Network Embeddings

Assessment

Wrap Up

1 Lesson

Get familiar with essential skills in network data manipulation, community detection, and machine learning.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI-Powered Mock Interviews

Put your skills to the test in a simulated interview setting. Receive personalized feedback based on your performance. Available in Premium & Premium Plus plans.

Adaptive Learning

At various checkpoints throughout Educative courses, you will be prompted to take a quick assessment. Receive a condensed curriculum tailored to your strengths and skill gaps.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!