Master
2024/2025
Working with Network Data
Type:
Compulsory course (Data Analytics and Social Statistics)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
International laboratory for Applied Network Research
Where:
Faculty of Social Sciences
When:
2 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Master’s programme:
Applied Statistics with Network Analysis
Language:
English
ECTS credits:
3
Contact hours:
36
Course Syllabus
Abstract
This course is about conducting research, both in academia and in practice. Specifically, we will focus on basic steps of the scientific inquiry, starting with the topic selection, and progressing through to literature review, hypotheses generation, choice of analysis method, and methods of propagating the research results to wide audiences (written and oral presentations). Throughout the semester we will become familiar with the most advanced current topics, presented by guest speakers and the ANR researchers. Whether you plan to work in the corporate world, or develop your career in academia, you will be forced to generate knowledge and disseminate it to others, so there is no doubt that you will use the skills acquired in this course.
Learning Objectives
- The course gives students an important foundation to develop and conduct their own research as well as to evaluate research of others.
Expected Learning Outcomes
- Be able to develop and/or foster critical reviewing skills of published empirical research using applied statistical methods.
- Have basic academic writing skills in both English and Russian.
- Have oral presentation skills.
- Know the most recent advances in network science and applied statistics.
- Be able to understand the basic steps of the research process.
- Know the requirements and guidelines of scientific publishing both in Russia and abroad.
- Know topics, terminology, and principles of scientific research methods.
- Be able to to criticize constructively and determine existing issues with applied linear models in published work.
Course Contents
- Research design in social sciences
- Network-based research design
- Types of network data
- Network data collection
- Network data preparation
- Network data analysis
- Network data visualization
- SNA software
- Ethics and integrity in network-based research
Assessment Elements
- Homeworks8 consequtive homeworks on the materials of the research seminar
- Final Project
Bibliography
Recommended Core Bibliography
- Brewerton, P., & Millward, L. (2001). Organizational Research Methods : A Guide for Students and Researchers. London: SAGE Publications Ltd. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=251199
- Bryman, A. (1989). Research Methods and Organization Studies. London: Routledge. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=97175
- Maruyama, G., & Ryan, C. S. (2014). Research Methods in Social Relations (Vol. 8th ed). Malden, Mass: Wiley-Blackwell. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=798826
Recommended Additional Bibliography
- Sword, H. (2012). Stylish Academic Writing. Cambridge, Mass: Harvard University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=464125