MEB434 Social Network Analysis in R

Faculty of Social Studies
Autumn 2019
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
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
The course is also listed under the following terms Autumn 2016, Autumn 2017, Autumn 2018.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2019/MEB434