Network Analysis in Python#

You’ll learn how to use network analysis to identify clusters and connections between nodes in a dataset, covering:

• Network Construction: Build a network from the IMDb database, where nodes represent actors and edges represent shared movie appearances.
• Clustering: Apply clustering techniques to detect communities within the network, using the scikit-network library.
• Matrix Operations: Utilize matrix operations to efficiently analyze actor relationships and interactions.
• Community Detection: Implement algorithms to identify and interpret clusters, examining how different actor clusters are connected.
• Application of Findings: Explore practical applications of network analysis, such as social network analysis and its potential uses in various domains.

Here are links used in the video:

• Jupyter Notebook
• Exploring the Movie Actor Network in Python
• Jupyter Notebook - Shortest Path
• Jupyter Notebook - Actor network
• IMDb Datasets
• Learn about the sknetwork package
• Learn about the scipy.sparse matrices and video
• Introduction to Kumu
• Network analysis with Kumu