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Social-Network-Analysis

Topics Learned

  1. Introduction to network science
  2. Power laws
  3. Random graphs
  4. Small world and dynamical growth models
  5. Node centrality metrics
  6. Link analysis and network structure
  7. Structural equivalence and similarity
  8. Network communities
  9. Special classes of networks
  10. 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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