460-2067/01 – Introduction to Social Network Analysis (UASS)

Gurantor departmentDepartment of Computer ScienceCredits3
Subject guarantordoc. Mgr. Miloš Kudělka, Ph.D.Subject version guarantordoc. Mgr. Miloš Kudělka, Ph.D.
Study levelundergraduate or graduateRequirementOptional
Year2Semesterwinter
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFEIIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
KUB0466 Ing. Kristýna Kubíková
KUD007 doc. Mgr. Miloš Kudělka, Ph.D.
PAP0081 Ing. Lukáš Papík
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit 1+2
Part-time Credit 14+0

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

Part-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit Credit 100  51 3
Mandatory attendence participation: Hundred percent participation in the labs is required except for a doctor-confirmed disease.

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Conditions for subject completion and attendance at the exercises within ISP: Completion of all mandatory tasks within individually agreed deadlines.

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (B0613A140014) Computer Science P Czech Ostrava 2 Optional study plan
2024/2025 (B0613A140014) Computer Science K Czech Ostrava 2 Optional study plan
2024/2025 (B0714A060023) Communication and Information Technology P Czech Ostrava 2 Optional study plan
2023/2024 (B0613A140014) Computer Science K Czech Ostrava 2 Optional study plan
2023/2024 (B0613A140014) Computer Science P Czech Ostrava 2 Optional study plan
2023/2024 (B0714A060023) Communication and Information Technology P Czech Ostrava 2 Optional study plan
2022/2023 (B0613A140014) Computer Science K Czech Ostrava 2 Optional study plan
2022/2023 (B0613A140014) Computer Science P Czech Ostrava 2 Optional study plan
2022/2023 (B0714A060023) Communication and Information Technology P Czech Ostrava 2 Optional study plan
2021/2022 (B0613A140014) Computer Science P Czech Ostrava 2 Optional study plan
2021/2022 (B0613A140014) Computer Science K Czech Ostrava 2 Optional study plan
2020/2021 (B0613A140014) Computer Science K Czech Ostrava 2 Optional study plan
2020/2021 (B0613A140014) Computer Science P Czech Ostrava 2 Optional study plan
2019/2020 (B0613A140014) Computer Science P Czech Ostrava 2 Optional study plan
2019/2020 (B0613A140014) Computer Science K Czech Ostrava 2 Optional study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2023/2024 Winter
2022/2023 Winter
2021/2022 Winter
2020/2021 Winter