Introduction to social network analysis in social media

elective courses

Good command of English (at a level sufficient for reading scientific literature in English)

Classroom

The seminar aims to familiarize students with the basics of network theory, methods of network analysis and applications of network theory in the social sciences, in particular in the analysis of social processes in digital media.

During the course, students will learn the basics of network theory and the methods of network analysis. In the first part of the course basic network concepts will be introduced together with an overview of possible applications of network analysis. The students will learn how to measure global network characteristics (structure, information flow properties) as well as characteristics of individual nodes (centrality of a node in the flow information). The second part of the course will acquaint students with examples of applications of network analysis, in particular within the social sciences

Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of “small-world” networks. Nature, 393(6684), 440–442. https://doi.org/10.1038/30918

Knows basic methods and techniques of social research and can choose appropriate methods to solve basic research problems

Knows how to plan and carry out a simple quantitative and qualitative study

Can record and observe social phenomena in a methodologically correct way

Can independently find facts and materials needed to conduct simple sociological analyses, using various sources in both Polish and a foreign language, and using modern technologies

Can select proper research methods and techniques to conduct an analysis of a particular problem

Can plan and carry out a social study using basic quantitative and qualitative research methods and techniques

Can use the basic functions of a chosen computer program for data analysis

assignments, report, project

Permissible number of excused absences: 2

Second term assessment: the same as in the first term