827 Social Networks

827 Social Networks

  •  Study programme and level: University degree programme Public sector governance 1st Cycl
  • 2nd or 3rd year
  • 6 ECTS
  • Course type: Elective
  • Lectures: 20
  • Other forms of study: 70
  • Individual work: 90
  • Lecturer: Ljupco Todorovski, PhD


1. Objectives and competences


  • Introduce basic terms and aspects of social networks.
  • Present basic concepts of social network analysis.
  • Teach students to properly perform the social network analysis.


  • Understanding the concept of social network.
  • Ability for independent identification of suitable frameworks for social network analysis.
  • Mastering the methods, techniques and tools for social network analysis.

2. Content

  • Introduction to social networks and social network analysis
  • Historical development of Web social networks and social network analysis with examples
  • Fundamental concepts in social network analysis: actor, relational tie, subgroups, groups, and relation
  • Social network data: characteristics, gathering, limitations
  • Global and local network views and properties
  • Structural network properties: centrality and prestige measures
  • Cohesive network subgroups: density, degree, components, cores, cliques
  • Introduction to the Pajek software package for social network analysis: analyzing basic network properties and building networks.
  • Social network analysis examples: connections between friends, Web social networks (e.g., Facebook), computer networks (e.g., links between Web blogs), citation networks for a particular scientific field (e.g., e-government), organizational networks (e.g., public-sector organizations).

3. Readings

  • Wasserman, S., Faust, K.: Social network analysis: Methods and Application. Cambridge: Cambridge University Press, 1994.  Izbrana poglavja, 200 str.
  • Scott, J.: Social Network Analysis: A Handbook. London: Sage Publications, 2000. Izbrana poglavja, 150 str.
  • Nooy, de W., Mrvar, A., Batagelj, V.: Exploratory Social Network Analysis with Pajek. Cambridge: Cambridge University Press, 2005. Izbrana poglavja, 150 str

4. Intended learning outcomes

Understanding the importance and presence of the creation of social networks in public administration and everyday life. Student can identify different types of networks, define the scope of their analysis, and select appropriate methods, techniques and tools for analysis.

5. Learning and teaching methods

  • Lectures, seminars and tutorials with the presentation of practical analysis examples.
  • Seminar work and guided individual study.
  • E-learning.

6. Assessment

  • Homework (40%)
  • Final seminar paper and oral presentation (60%)