MEBn5034 Social Network Analysis in R

Faculty of Social Studies
Autumn 2021
Extent and Intensity
1/1/0. 6 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Lukáš Lehotský, Ph.D. (lecturer)
doc. Mgr. Petr Ocelík, Ph.D. (lecturer)
Mgr. Colin Kimbrell, Ph.D. (assistant)
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 14:00–15:40 M117
Prerequisites (in Czech)
! MEB434 Social Network Analysis in R && !NOW( MEB434 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 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20
fields of study / plans the course is directly associated with
there are 16 fields of study the course is directly associated with, display
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
The course is taught annually.
The course is also listed under the following terms Autumn 2019, Autumn 2020, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2021, recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2021/MEBn5034