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Бакалавриат 2024/2025

Методы сетевого анализа

Направление: 38.03.01. Экономика
Когда читается: 3-й курс, 4 модуль
Формат изучения: без онлайн-курса
Охват аудитории: для своего кампуса
Язык: английский
Кредиты: 4

Course Syllabus

Abstract

This course is devoted to the theory and practice of network analysis in social and economic fields. The first part includes the general concepts of network analysis with a focus on data sorting and preparation. In the second part, several advanced techniques will be studied. Additionally, this course contains many practice examples of network analysis and will provide opportunities to incorporate network concepts into students' research works.
Learning Objectives

Learning Objectives

  • Изучить основные методы сетевого анализа и уметь их применять в практических задачах
Expected Learning Outcomes

Expected Learning Outcomes

  • The aim to provide a strong foundation for participants to approach data analysis systematically and effectively, while being mindful of potential challenges and how to address them.
Course Contents

Course Contents

  • Principles of Data Analysis and Main Challenges
  • Introduction to Network Analysis
  • Network Definition and Types of Network Data
  • Network Data Visualization and Software
  • Main Network Concepts
  • Network Data Collection and Preparation
  • Design of Network data analysis
  • Explanatory network analysis
  • Confirmatory network analysis
Assessment Elements

Assessment Elements

  • non-blocking Homework
  • non-blocking Class actvity
  • non-blocking Project
Interim Assessment

Interim Assessment

  • 2024/2025 4th module
    0.3 * Class actvity + 0.4 * Homework + 0.3 * Project
Bibliography

Bibliography

Recommended Core Bibliography

  • A practical guide to scientific data analysis, Livingstone, D., 2010
  • Advanced statistics in research : reading, understanding, and writing up data analysis results, Hatcher, L., 2013
  • Algorithms and models for network data and link analysis, Fouss, F., 2016
  • Applications of social network analysis. Vol.1: Individuals, , 2014
  • Applications of social network analysis. Vol.2: individuals, , 2014
  • Applications of social network analysis. Vol.3: Organizations, , 2014
  • Applications of social network analysis. Vol.4: Institutions, , 2014
  • Charu C. Aggarwal. (n.d.). Chapter 1 AN INTRODUCTION TO SOCIAL NETWORK DATA ANALYTICS. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.A1C03FD0
  • Complex social networks, Vega-Redondo, F., 2007
  • Doing social research, Baker, T. L., 1999
  • Exploratory social network analysis with Pajek, Nooy de, W., 2007
  • Fu, X., Luo, J.-D., & Boos, M. (2017). Social Network Analysis : Interdisciplinary Approaches and Case Studies. Boca Raton, FL: CRC Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1499393
  • Introduction to Social Network Methods - CCBY4_054 - Robert Hanneman & Mark Riddle - 2022 - Open Educational Resources: libretexts.org - https://ibooks.ru/bookshelf/390840 - 390840 - iBOOKS
  • Kadry, S., & Al-Taie, M. Z. (2014). Social Network Analysis : An Introduction with an Extensive Implementation to a Large-scale Online Network Using Pajek. Oak Park, IL: Bentham Science Publishers. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=694016
  • Luke, D. A. . V. (DE-588)130032344, (DE-627)488060184, (DE-576)297960504, aut. (2015). A user’s guide to network analysis in R Douglas A. Luke. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edswao&AN=edswao.454121474
  • Luke, D. A. (2015). A User’s Guide to Network Analysis in R. Cham: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1114415
  • Mohammed Zuhair Al-Taie, Seifedine Kadry (2017) Python for Graph and Network Analysis. Springer International Publishing AG. https://link.springer.com/content/pdf/10.1007%2F978-3-319-53004-8.pdf
  • Nooy, W. de, Batagelj, V., & Mrvar, A. (2011). Exploratory Social Network Analysis with Pajek: Vol. Rev. and expanded 2nd ed. Cambridge University Press.
  • Nooy, W. de, Mrvar, A., & Batagelj, V. (2005). Exploratory Social Network Analysis with Pajek. New York: Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=138973
  • Pernille Christensen. (2011). An Introduction to Statistical Methods and Data Analysis (6th ed., international ed.). Journal of Property Investment & Finance, (2), 227. https://doi.org/10.1108/jpif.2011.29.2.227.1?utm_campaign=RePEc&WT.mc_id=RePEc
  • Robins, G., Koskinen, J., & Lusher, D. (2012). Exponential Random Graph Models for Social Networks : Theory, Methods, and Applications. Cambridge: Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=498293
  • Social network analysis : methods and applications, Wasserman, S., 2007
  • Social network analysis, Scott, J., 2017
  • Wasserman, S., & Faust, K. (1994). Social Network Analysis : Methods and Applications. Cambridge: Cambridge eText. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=490515

Recommended Additional Bibliography

  • Analyzing social networks, Borgatti, S. P., 2018

Authors

  • MATVEEVA NATALIYA NIKOLAEVNA