Social Network Analysis with Python
summary
Social Network Analysis con Python presents how to analyze social networks using Python, covering libraries and tools for graph representation and metrics computation (such as centrality and community detection). It demonstrates building and visualizing networks, processing datasets from online platforms, and applying algorithms to extract insights about node importance and group structure.
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chapters (9)
- 0:00Social network intro
- 1:49What are networks
- 10:03NetworkX in Python
- 20:04Basic network metrics
- 30:04Node degree distribution
- 40:46Generative models
- 53:50Node centrality and resilience
- 1:00:10Network visualization
- 1:15:57Practical applications
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