Social Networks

2024/2025

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

School of Linguistics

Course type:

Compulsory course

When:

2 year, 1 module

Instructor

Kogan, Alexandra

Course Syllabus

Abstract

The course "Social Networks" introduces students to the new interdisciplinary field of research. Emerged in sociology, the theory of social networks in recent years, has attracted considerable interest of economists, mathematicians, physicists, experts in data analysis, computer engineers. Initially, researches focused on the study of social networks, i.e. sets of links connecting the social actors in accordance with their interaction. Nowadays, the study of actors’ relations includes economic, financial, transport, computer, language and many other networks. The course examines the methods of analyzing the structure of networks, model of their emergence and development, and the processes occurring in networks.

Learning Objectives

• The main objective of the course «Social Networks» – to provide students with the theoretical foundations of the theory of social networks and the development of practical knowledge and skills for network science.

Expected Learning Outcomes

• Can apply the obtained knowledge to analyze real-world networks.
• Knows the typical applied problems considered in models of complex networks
• Understands the capabilities and limitations of the existing network analysis methods
• Understands the fundamental principles of social networking

Course Contents

• Complex networks
• Nodes metrics and link analysis
• Nodes metrics and link analysis (continuation)
• Networks in theoretical linguistics

Assessment Elements

• Reading club
  presentation of a paper on network analysis
• SN project
  presentation of personal ego-network analysis
• Home assignments
  programming tasks on python

Interim Assessment

• 2024/2025 1st module
  0.5 * Home assignments + 0.25 * Reading club + 0.25 * SN project

Bibliography

Recommended Core Bibliography

• Newman, M. (2010). Networks: An Introduction. Oxford University Press, 2010

Recommended Additional Bibliography

• 9781491962268 - Géron, Aurélien - Hands-On Machine Learning with Scikit-Learn and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems - 2017 - O'Reilly Media - https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1486117 - nlebk - 1486117

Authors

• Pozdniakov Vitalii VITALEVICH
• KLYSHINSKIY EDUARD STANISLAVOVICH