460-2067/01 – Introduction to Social Network Analysis (UASS)
Gurantor department | Department of Computer Science | Credits | 3 |
Subject guarantor | doc. Mgr. Miloš Kudělka, Ph.D. | Subject version guarantor | doc. Mgr. Miloš Kudělka, Ph.D. |
Study level | undergraduate or graduate | Requirement | Optional |
Year | 2 | Semester | winter |
| | Study language | Czech |
Year of introduction | 2019/2020 | Year of cancellation | |
Intended for the faculties | FEI | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
200/5000
Upon completion of this course, students will be able to describe the essentials of basic problems related to the analysis of social networks; they will be able to use selected APIs and tools for analysis and visualization of small networks.
Teaching methods
Lectures
Tutorials
Summary
The subject aims to provide basic information about the history and present of social networks and foundations of their analysis.
Compulsory literature:
Barabási, A. L. (2014). Network science book. Boston, MA: Center for Complex Network, Northeastern University. Available online at: http://barabasi. com/networksciencebook.
Recommended literature:
Barabási, A. L. (2016). Network science. Cambridge university press.
Way of continuous check of knowledge in the course of semester
Solving continuously entered problems.
E-learning
Other requirements
Additional requirements are not placed on the student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures
History and present of social networks.
Basic features of social networks.
Simple measurement of social network features and their purpose.
Ego-networks analysis.
Selected social network APIs (Facebook, Twitter,...).
Tools for social network analysis.
Tools for social network visualization.
Interpretation of social network analysis results
Seminars
The exercises will be devoted to practical tasks in the following areas:
- Analysis of features
- Practical usage of selected APIs
- Network visualization
- Interpretation of analytical results
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction