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Introduction to Graphs and Complex Networks

Introduction to the Course What Are Graphs?Basic Graph Types Complex Graph Types Random Graphs Complexity and Complex Networks

Course Assessment

Assess Your Knowledge of Graphs and Complex Networks

Graphs and Complex Networks in Python

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

Complex Networks Measurements

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

Course Assessment

Assess Your Knowledge of Complex Networks in Python

Random Graphs and Complex Networks Models

Small-World Networks Scale-Free Networks

Community Detection in Complex Networks

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

Course Assessment

Assess Your Knowledge of Network Models and Community Detection

Similarity in Complex Networks

Similarity and Equivalence Using Similarity for Link Prediction

Course Assessment

Assess Your Knowledge of Similarity in Complex Networks

Complex Network Embeddings

Embeddings and Random Walks The DeepWalk Algorithm The Node2Vec Algorithm The Graph2Vec Algorithm

Course Assessment

Assess Your Knowledge of Network Embeddings

Wrap Up

Introduction to Complex Network Analysis with Python

Conclusion

Look at the summary of what you’ve learned in this course.

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What we’ve learned
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