Master 2022/2023

Structural Analysis and Visualization of Networks

Type: Elective course (Financial Technologies and Data Analysis)

Area of studies: Applied Mathematics and Informatics

Delivered by: School of Data Analysis and Artificial Intelligence

Where: Faculty of Computer Science

When: 1 year, 3, 4 module

Mode of studies: offline

Open to: students of one campus

Instructors: Dmitrii Kiselev

Master’s programme: Финансовые технологии и анализ данных

Language: English

ECTS credits: 6

Contact hours: 44

Course Syllabus

Abstract

The course "Structural Analysis and Visualization of Networks" introduces students to a new and actively developing interdisciplinary field of network structure sciences. Since the research of social networks by sociologists, this area has attracted the attention of physicists, computer scientists, economists, computational biologists, linguists and others, and has become a truly interdisciplinary field of study. Despite the variety of processes that form networks, as well as objects and relationships that serve as nodes and edges in these networks, all networks have common statistical and structural properties. The interaction between order and disorder creates complex network structures that are the focus of the study. During the course, we will consider methods of statistical and structural analysis of networks, models of network formation and evolution, and the development of processes in the network. Special attention will be paid to the practical analysis and visualization of real networks using available software tools, and modern programming languages and libraries.