1. # vimeo.com/126345118 Uploaded 0 Plays 0 Comments
  2. Introduction to network science. Complex networks. Examples. Main properties. Scale-free networks. Small world. Six degrees of separation. Milgram study.

    Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture1.pdf

    # vimeo.com/126345242 Uploaded 9 Plays 0 Comments
  3. Power law distribution. Scale-free networks.Pareto distribution, normalization, moments. Zipf law. Rank-frequency plot.

    Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture2.pdf

    # vimeo.com/126345243 Uploaded 18 Plays 0 Comments
  4. Erdos-Reni random graph model. Poisson and Bernulli distributions. Distribution of node degrees. Phase transition, gigantic connected component. Diameter and cluster coefficient. Configuration model

    Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture3.pdf

    # vimeo.com/126345246 Uploaded 6 Plays 0 Comments
  5. Node centrality metrics, degree centrality, closeness centrality,
    betweenness centrality, eigenvector centrality. Katz status index and Bonacich centrality, alpha centrality.
    Spearman rho and Kendall-Tau ranking distance.

    Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture5.pdf

    # vimeo.com/126345249 Uploaded 26 Plays 0 Comments

Social Network Analysis

Leonid

Social Network Analysis course at HSE (http://www.hse.ru)

http://www.leonidzhukov.net/hse/2015/networks/

Part 1:
1. Introduction to network science
2. Power laws
3. Random graphs
4. Small world and dynamical growth models.
5. Centrality measures.
6.…


+ More

Social Network Analysis course at HSE (http://www.hse.ru)

http://www.leonidzhukov.net/hse/2015/networks/

Part 1:
1. Introduction to network science
2. Power laws
3. Random graphs
4. Small world and dynamical growth models.
5. Centrality measures.
6. Link analysis.
7. Structural equivalence.
8. Network communities
9. Graph partitioning algorithms
10. Community detection

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