Network Analysis

2025/2026

Учебный год

ENG

Обучение ведется на английском языке

4

Кредиты

Кто читает:

Департамент экономики и анализа данных (Факультет экономики НИУ ВШЭ (Нижний Новгород))

Статус:

Курс по выбору

Когда читается:

3-й курс, 4 модуль

Преподаватель

Докука София Владимировна

Course Syllabus

Abstract

This course introduces students to the theory and practice of network analysis in social and economic systems. It provides a comprehensive overview of how relationships between entities can be modeled, analyzed, and interpreted using graph-based approaches. The course covers both classical methods of social network analysis—such as centrality measures, community detection, and structural properties—as well as modern approaches, including graph embeddings and graph neural networks. A strong emphasis is placed on practical applications in economics, sociology and business, including organizational analysis, financial networks, and digital platforms. Students will gain hands-on experience in working with real-world network data, using programming tools for network construction, visualization, and analysis.

Learning Objectives

• ● To provide students with a solid foundation in network analysis concepts and methods
• ● To develop the ability to apply network-based approaches to economic, sociological and business tasks
• ● To build practical skills in working with network data, including data preparation, analysis, and visualization

Expected Learning Outcomes

• ● Represent real-world systems as networks
• ● Design network-based research projects
• ● Compute and interpret network metrics
• ● Identify structural patterns such as central nodes and communities
• ● Analyze temporal changes in networks
• ● Apply basic machine learning methods to network data
• ● Critically interpret results of network analysis in social and economic contexts
• ● Communicate analytical findings clearly and effectively

Course Contents

• 1. Introduction to Network Analysis
• 2. Network Definition and Types of Network Data
• 3. Network Data Collection and Preparation
• 4. Network Analysis and Visualization Tools
• 5. Core Network Concepts
• 6. Centrality Measures
• 7. Community Detection
• 8. Network Structure and Models
• 9. Dynamic Networks and Diffusion
• 10. Modern Methods in Network Analysis

Assessment Elements

• Attendance
• Class Activity
• ● Final Project

Interim Assessment

• 2025/2026 4th module
  0.6 * ● Final Project + 0.2 * Attendance + 0.2 * Class Activity

Bibliography

Recommended Core Bibliography

• A practical guide to scientific data analysis, Livingstone, D., 2010

Recommended Additional Bibliography

• Advanced statistics in research : reading, understanding, and writing up data analysis results, Hatcher, L., 2013

Authors

• Krekhovets Ekaterina Vladimirovna