| Course Unit Code | 460-2067/01 |
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| Number of ECTS Credits Allocated | 3 ECTS credits |
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| Type of Course Unit * | Optional |
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| Level of Course Unit * | First Cycle |
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| Year of Study * | Second Year |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| KUD007 | doc. Mgr. Miloš Kudělka, Ph.D. |
| Summary |
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| The subject aims to provide basic information about the history and present of social networks and foundations of their analysis. |
| Learning Outcomes of the Course Unit |
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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. |
| Course Contents |
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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 |
| Recommended or Required Reading |
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| Required Reading: |
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| Barabási, A. L. (2014). Network science book. Boston, MA: Center for Complex Network, Northeastern University. Available online at: http://barabasi. com/networksciencebook. |
| Barabási, A. L. (2014). Network science book. Boston, MA: Center for Complex Network, Northeastern University. Available online at: http://barabasi. com/networksciencebook. |
| Recommended Reading: |
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| Barabási, A. L. (2016). Network science. Cambridge university press. |
| Barabási, A. L. (2016). Network science. Cambridge university press. |
| Planned learning activities and teaching methods |
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| Lectures, Tutorials |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Credit | Credit | 100 | 51 |