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Бакалаврская программа «Социология и социальная информатика»

Social Network Analysis: Advanced Level

2022/2023
Учебный год
ENG
Обучение ведется на английском языке
5
Кредиты
Статус:
Курс по выбору
Когда читается:
4-й курс, 1, 2 модуль

Course Syllabus

Abstract

This course is designed for students who are interested in more elaborated topics in SNA and who finished the basic course (https://www.hse.ru/edu/courses/339501077). It goes deeper in the issues of testing hypotheses with the methods of SNA therefore it needs as basic knowledge in key concepts like centrality, density, reciprocity, transitivity, cliques, etc. as skills in creation of research design with network approach. In general, this course is focused on confirmatory social network analysiswith empirical examples from different spheres: school and students, dark networks, culture networks, scientific coauthorships, etc.It will cover such topics as QAP correlation and MR-QAP Linear regression, ERGM, Longitudinal Analysis and network comparison. Using tools discussed during this course students can answer different research questions such as the principles of ties formation, for example how attributes of individual (gender, age, class, taste, etc.) are connected with the ability to construct friendship ties, what are the consequences of peer influence and friendship selection, how scientific consensus form, how criminal networks are changed in reaction to exogenous shock and much more. Prerequisites: Social Network Analysis course or any SNA course from Coursera