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Course Syllabus

Course Syllabus


 

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2022/2023

Social Network Analysis

Type: Mago-Lego
Delivered by: School of Data Analysis and Artificial Intelligence
When: 4 module
Open to: students of all HSE University campuses
Instructors: Ilia Karpov
Language: English
ECTS credits: 3
Contact hours: 32

Course Syllabus

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Abstract

The course presents mathematical methods and computational tools for Social Network Analysis (SNA). SNA was pioneered by sociologist, but recently became an interdisciplinary endeavor with contributions from mathematicians, computer scientists, physicists, economists etc., who brought in many new tools and techniques for network analysis. In this course we will start with basic statistical descriptions of networks, analyze network structure, roles and positions of nodes in networks, connectivity patterns and methods for community detection. In the second part of the course we will discuss processes on networks and practical methods of network visualization. We conclude the course with examples from social media mining and Facebook, Vkontakte and Twitter analysis.