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Substack

Graphs For Data Science

Net_DBSCAN

Repository to accompany the substack Graphs For Data Science

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All the code is runnable in Binder and each blog post corresponds to a differnet notebook

  1. Graph Algorithms for Data Science

  2. Graphs 101 - A deep look at the airline transportation network - Graphs 101 - Airline Network.ipynb

  3. Understanding DBSCAN and K-NN with Random Geometric Graphs - Random Networks.ipynb

  4. Word Networks for Language Generation - n-grams.ipynb

  5. Searching Graphs: Or how to get turn by turn directions from Open Street Map - Search.ipynb

  6. Structural Causal Models: Reasoning with DAGs

  7. Graph Embeddings 101: From word2vec to node2vec, and beyond - node2vec.ipynb

  8. Node Centrality: Degree, Closeness, and Betweenness Centrality - Node Centrality.ipynb

  9. Graph Components: Strongly and Weakly Connected Components - Components.ipynb

  10. Bitcoin Transaction Network: Networks on the blockchain - Blockchain.ipynb

  11. Network Motifs: Frequent patterns in Graphs - motifs.ipynb

  12. Erdős-Rényi Model and Clustering Coefficient - ER and Clustering Coefficient.ipynb

  13. The Watts-Strogatz Model and the Small World Effect - WS and the Small World Effect.ipynb

  14. Barabasi-Albert Model and Preferential Attachment - BA Model and Preferential Attachment.ipynb

  15. Network Assortativity and the Configurational Model - Degree Correlations and the Configurational Model.ipynb

  16. Markov Chains and PageRank - PageRank.ipynb

  17. Community Structure and Network Modularity - Community Detection.ipynb

  18. Epidemic Models

  19. Bipartite Graphs 101 - Bipartite 101.ipynb

  20. Neighborhood Overlap and Edge Weights - Edge Weight and Network structure.ipynb

  21. Prim's Minimum Spanning Tree Algorithm - Prim's MST Algorithm.ipynb

  22. Kahn's Algorithm for Topological Sorting - Topological Sorting.ipynb

  23. Network Attacks - Network Attacks.ipynb

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