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Обычная версия сайта
Контакты

Адрес: 109028, г. Москва, Покровский бульвар, д. 11, корпус S, комната S938 (станции метро "Чистые пруды" и "Курская").

Телефон: +7(495) 772-95-90 *27319

Руководство
Руководитель департамента Кузнецов Сергей Олегович
Заместитель руководителя департамента Громов Василий Александрович
Статья
Efficient indexing of peptides for database search using Tide

Acquaye F. L., Kertesz-Farkas A., Stafford Noble W.

Journal of Proteome Research. 2023. Vol. 22. No. 2. P. 577-584.

Статья
Language models for some extensions of the Lambek calculus

Kanovich M., Kuznetsov S., Scedrov A.

Information and Computation. 2022. Vol. 287.

Статья
Triclusters of Close Values for the Analysis of 3D Data

Egurnov D., Ignatov D. I.

Automation and Remote Control. 2022. Vol. 83. No. 6. P. 894-902.

Глава в книге
Triclustering in Big Data Setting

Egurnov D., Точилкин Д. С., Ignatov D. I.

In bk.: Complex Data Analytics with Formal Concept Analysis. Springer, 2022. P. 239-258.

Глава в книге
Ontology-Controlled Automated Cumulative Scaffolding for Personalized Adaptive Learning

Dudyrev F., Neznanov A., Anisimova K.

In bk.: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium -23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II. Springer, 2022. P. 436-439.

Глава в книге
Modeling Generalization in Domain Taxonomies Using a Maximum Likelihood Criterion

Zhirayr Hayrapetyan, Nascimento S., Trevor F. et al.

In bk.: Information Systems and Technologies: WorldCIST 2022, Volume 2. Iss. 469. Springer, 2022. P. 141-147.

MAGoLEGO "Social Network Analysis"

by Prof. L.E. Zhukov, Dr. I. Makarov, Dr. L. Beaгdou, Dr. O. Gerasimova
Course web-page: http://www.leonidzhukov.net/hse/2019/sna      

Tutors: Ilya Makarov, Laurent Beaudou, Olga Gerasimova. 
Teaching assistant: Tatyana Tregubova.
Please, send your questions and home assignments to 
hse.ntwks@gmail.com with prefix [MAGOLEGO SNA 2019] {First name Last Name} [HW #1/2/3/4] in message topic.

12 April 2019: Basic concepts and pre-requisites for the course

 IGraph Tutorial + Installation (PDF, 536 Кб)

 Linear Algebra and Probability Short Tutorial (ZIP, 706 Кб)

 IGraph (ZIP, 232 Кб)

 IGraph (PDF, 269 Кб)

19 April 2019: Graph file-formats. Power law. Network descriptive statistics

 Power Law References (ZIP, 1.55 Мб)

 Graph Formats and Network Descriptive Statistics (ZIP, 2.37 Мб)

 Graph Formats and Network Desciptive Statistics (PDF, 548 Кб) 

26 April 2019: Mathematical models of networks

 Mathematical Models of Networks (ZIP, 3.14 Мб)

 Mathematical Models of Networks (PDF, 620 Кб)

17 May 2019: Centrality metrics  
    
 Centrality Metrics (ZIP, 959 Кб) 

 Centrality Metrics (PDF, 763 Кб)                 

24 May 2019: Dense subgraphs and communities

 Community Detection (ZIP, 6.10 Мб) 

 Community Detection (PDF, 379 Кб)

31 May 2019: Graph Patterns, Assortativity Mixing

 Graph Patterns, Visualization and Assortativity Mixing. Graph Analysis (ZIP, 125 Кб) 

 Graph Patterns, Visualization and Assortativity Mixing. Graph Analysis (PDF, 476 Кб)

07 June 2019: Epidemic Models

 Epidemic models on networks (ZIP, 92 Кб) 

 Epidemic models on networks (PDF, 483 Кб)

14 June 2019: Information Propagation Models

 Information propagation (ZIP, 4 Кб) 

 Information propagation (PDF, 271 Кб)

14 June 2019: Spatial Segregation. Discussion

21 June 2019 (preliminary date): Exam
Final grade=round(
0.6*round((HW1+HW2+HW3+HW4)/4)+
+0.4*round(exam)
)

Assignments
HomeWorks should be done in R MarkDown. Plagiarism means 0 grade for any person, either source or cheater.
All deadline are posted in square brackets here on this page
(files contain old dates, you may delete them)

1. Power law. Descriptive network analysis -- [
due date - 10.05.2019 23:59]                      

SNA Home Assignment 1.zip
SNA Home Assignment 1.pdf
                SNA Home Assignment 1 Hints.zip
                SNA Home Assignment 1 Hints.pdf

2. Graph models. Centrality metrics -- [due date - 25.05.2018 23:59]  
                    VK NodeXL Plugin (PDF, 741 Кб) not working now for free

                            vk.com/app3861133 this works.

SNA Home Assignment 2.zip
SNA Home Assignment 2.pdf

3. Network preprocessing. Community detection -- [due date - 03.06.2018 23:59]                     

SNA Home Assignment 3.zip
SNA Home Assignment 3.pdf

4. Network Epidemics -- [due date - 11.06.2018 23:59]

SNA Home Assignment 4.zip
SNA Home Assignment 4.pdf


Mining Social Media https://github.com/MakarovIA/Mining-the-Social-Web-2nd-Edition
VKontakteR
VK R Tutorial

RFacebook

Package https://cran.r-project.org/web/packages/Rfacebook/Rfacebook.pdf
Tutorial http://thinktostart.com/analyzing-facebook-with-r/
Examples http://blog.revolutionanalytics.com/2013/11/how-to-analyze-you-facebook-friends-network-with-r.html


TwitteR 

Package 
https://cran.r-project.org/web/packages/twitteR/twitteR.pdf
Tutorial http://geoffjentry.hexdump.org/twitteR.pdf
Presentation http://www.rdatamining.com/docs/twitter-analysis-with-r

Usefull Links\Docs

 R/RStudio Setup Guide (PDF, 1.33 Мб)

          R Setup
          RStudio Setup

 R Tutorial (PDF, 885 Кб)

 R Cheat-Sheet (PDF, 72 Кб)

 R Markdown Tutorial (PDF, 650 Кб)

 R Short Introduction (PDF, 367 Кб)

 Coursera course for R
 Learning R with SWIRL 

 Portal for R References