FSS:MEB434 Social Network Analysis in R - Course Information

MEB434 Social Network Analysis in R

Extent and Intensity

1/1/0. 6 credit(s). Type of Completion: zk (examination).

Teacher(s)

Mgr. Lukáš Lehotský, Ph.D. (lecturer)
doc. Mgr. Petr Ocelík, Ph.D. (lecturer)

Guaranteed by

doc. PhDr. Břetislav Dančák, Ph.D.
Department of International Relations and European Studies – Faculty of Social Studies
Contact Person: Olga Cídlová, DiS.
Supplier department: Department of International Relations and European Studies – Faculty of Social Studies

Timetable

Wed 12:00–13:40 P22

Prerequisites (in Czech)

! MEBn5034 Social Network Analysis in R && !NOW( MEBn5034 Social Network Analysis in R )

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 6 student(s).
Current registration and enrolment status: enrolled: 0/6, only registered: 0/6, only registered with preference (fields directly associated with the programme): 0/6

fields of study / plans the course is directly associated with

• Energy Security Studies (Eng.) (programme FSS, N-MS)
• Environmental Studies (programme FSS, N-HE)
• European Politics (Eng.) (programme FSS, N-PL)
• European Studies (programme FSS, N-MS)
• European Governance (programme FSS, N-MS)
• Environmental Humanities (programme FSS, N-HE3)
• Joint Master Programme in International Relations: Europe from the Visegrad Perspective (programme FSS, N-MS)
• Conflict and Democracy Studies (Eng.) (programme FSS, N-PL)
• International Relations and Energy Security (programme FSS, N-MS)
• International Relations (programme FSS, N-MS)

Course objectives

The course introduces students to (meta)theoretical assumptions and methodological apparatus of social network analysis. Each class consists of a lecture which introduces theoretical background and “mechanics” of a given concept or method, and a workshop where students use this knowledge through practical tasks.

Learning outcomes

Upon successful completion of the course, students will be able to set-up SNA-defined research design, specify appropriate techniques and rigorously use them. The emphasis will be put on the practical use of this knowledge.

Syllabus

• Organizational session / R modular architecture, data import
• Objects in R
• Data manipulation 1
• Data manipulation 2
• Introduction to SNA: main assumptions and concepts
• Relational data: notations, matrices, and diagrams
• Network topology: connectedness, distances, and motifs
• Centrality: degree, closeness, betweenness
• Centralization: degree, closeness, betweenness
• Cohesive subgroups: triadic census, cliques, and communities
• Research design and data collection
• Data visualization
• Exploratory SNA
• Inferential SNA

Literature

• ROBINS, Garry. Doing social network research : network-based research design for social scientists. First published. Los Angeles: Sage, 2015, xiv, 261. ISBN 9781446276136. info
• BORGATTI, Stephen P., Martin G. EVERETT and Jeffrey C. JOHNSON. Analyzing social networks. Thousand Oaks, Calif.: Sage, 2013, viii, 296. ISBN 9781446247419. info
• ADLER, Joseph. R in a nutshell. 2nd ed. Sebastopol, CA: O'Reilly, 2012, xix, 699. ISBN 9781449312084. info

Teaching methods

lectures, workshops, readings, assignments

Assessment methods

assignments grading

Language of instruction

English

Further Comments

Study Materials
The course is taught annually.

Listed among pre-requisites of other courses

• MEBn5034 Social Network Analysis in R
  !MEB434 && !NOW(MEB434)  

• Enrolment Statistics (recent)
  
• Permalink: https://is.muni.cz/course/fss/autumn2019/MEB434