FAVz090 Social network analysis

Faculty of Arts
Spring 2021
Extent and Intensity
2/0/0. 8 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. et Mgr. Jiří Navrátil, Ph.D. (lecturer)
Ewa Ciszewska (assistant)
doc. Mgr. Pavel Skopal, Ph.D. (assistant)
Mgr. Michal Večeřa, Ph.D. (assistant)
Guaranteed by
doc. Mgr. Pavel Skopal, Ph.D.
Department of Film Studies and Audiovisual Culture – Faculty of Arts
Supplier department: Department of Film Studies and Audiovisual Culture – Faculty of Arts
Timetable
Fri 12. 3. to Fri 4. 6. Fri 9:00–10:40 03019
Prerequisites
It is a COIL course implemented in cooperation with University of Lodz. No prerequisites are required.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
there are 14 fields of study the course is directly associated with, display
Course objectives
This course aims at introducing the key concepts and techniques in contemporary social network analysis. It also aims at particular procedures for relational data retrieval and analysis with SNA software package.
Syllabus
  • Assignment 1: Research question(s) (RQ) and its context (why is it relevant, important, etc.). Use available relevant academic resources, explain the relevance of your RQ. (min. 1 page)
  • Assignment 2: Data sampling and collection. What data will you collect, why and how? What is your operational definition of a tie/node? How are these connected to your RQ? (min. 1 page)
  • Assignment 3: Visualize your network and describe this visualisation. Visualize tie strength/node degree of the network. Describe its shape, connectedness, structure. (min. 2 pages)
  • Assignment 4: Analyse properties of your network (whole network properties, density, node centralities, sub-group analysis). Interpret the relevant results in terms of your RQ. (min. 2 pages)
  • Each assignment should be uploaded into the Homework Vaults folder in Information system before the lecture to which it is assigned (see syllabus). Submission of all assignments is necessary for the successful completion of the course.
  • The grading refers to the evaluation of the final paper:
    88 – 100 A
    75 – 87 B
    62 – 74 C
    49 – 61 D
    36 – 48 E
    0 – 35 F

    Lecture and reading schedule
  • 1. Principles of social network analysis (12/3)
    Required reading
    • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 1
    Recommended reading
    • Emirbayer, Mustafa. 1997. „Manifesto for a Relational Sociology.“ American Journal of Sociology 103: 281-317.
    • Wellman, Barry. 1988. Structural Analysis: from method and metaphor to theory and substance. In B. Wellman & S. D. Berkowitz (eds.), Social Structures: A Network Approach. Cambridge: Cambridge University Press, str. 19-61.
  • 2. Mathematical foundations and research design (19/3)
    Required reading
    • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 2 + 3
  • 3. Data collection (26/3)
    Required reading
    • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 4
    Recommended reading
    • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 1 + 5
    Submission of Assignment 1
  • 4. Data management (2/4)
    Required reading
    • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 5 – 7
    Recommended reading
    • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 4 + 6
  • 5. Visualizing networks with Netdraw (9/4)
    Required reading
    • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 7
    Submission of Assignment 2
  • 6. Whole network properties (16/4)
    Required reading
    • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 2 + 9
    Recommended reading
    • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 2 + 3 + 7
  • 7. Centrality (23/4)
    Required reading
    • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 10
    Recommended reading
    • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 9
    Submission of Assignment 3
  • 8. Triad census (30/4)
    Required reading
    • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, pp. 157-159
    Recommended reading
    • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, p. 122
  • 9. Subgroups (7/5)
    Required reading
    • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 11
    Recommended reading
    • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 11
    Recommended reading
    • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 11
  • 10. Ego-networks (14/5)
    Required reading
    • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 15
    Recommended reading
    • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 9
    Submission of Assignment 4
  • 11. Equivalence (21/5)
    Required reading
    • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 12
    Recommended reading
    • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 12-13
  • 12. Some statistical tools and conclusion (28/5)
    Required reading
    • Borgatti, Stephen P., Martin G. Everett and Jeffrey C. Johnson. 2013. Analyzing Social Networks. Thousand Oaks, CA: Sage, Chapter 8
    Recommended reading
    • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside, Chapter 18
Literature
    required literature
  • Contemporary perspectives on organizational social networks. Edited by Daniel J. Brass - Giuseppe Labianca - Ajay Mehra - Daniel S. Halgin -. First edition. Bingley: Emerald, 2014, xvi, 497. ISBN 9781783507511. info
    not specified
  • Hanneman, Robert A., e Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside.
  • Emirbayer, Mustafa. 1997. „Manifesto for a Relational Sociology.“ American Journal of Sociology 103: 281-317.
  • Wellman, Barry. 1988. Structural Analysis: from method and metaphor to theory and substance. In B. Wellman & S. D. Berkowitz (eds.), Social Structures: A Network Approach. Cambridge: Cambridge University Press, str. 19-61.
Teaching methods
Lecture, seminar.
Assessment methods
processing and visualisation of a dataset, interpretation of the results
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
Teacher's information
Lectures will start on 12th March
  • Enrolment Statistics (recent)
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