- Introduction to network science
- Power laws
- Random graphs
- Small world and dynamical growth models
- Node centrality metrics
- Link analysis and network structure
- Structural equivalence and similarity
- Network communities
- Special classes of networks
- Network visualization
-
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This repository shows programming assignments with R which I completed during Social Network Analysis Course at University.
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