This course presents key concepts, measures, and statistical techniques needed for the analysis of relational, social network data using a computational approach. Network concepts such as centrality and brokerage are discussed, and popular measures related to these concepts are reviewed. The course proceeds to computational methods for handling network data, producing network visualizations, and calculating relevant statistics. Statistical models applicable to network data are considered, and tutorials in relevant software tools are provided. Various statistical models for network data are presented and estimated in interactive computer labs involving real data, and methods for simulating network models are implemented.
Social Network Analysis
7.5 creditsSocial Network Analysis
Spring 2024, Half-time, Norrköping
Closed for late application
Semester
Spring 2024
Place of study
Norrköping
Pace of study
Half-time
Level
Second cycle
Teaching form
On-Campus
Education Time
Day-time
Education Language
English
Course offering id
LIU-46105
Period
202404 - 202413
Number of Places
2
Specific requirements
- 180 ECTS credits passed including 90 ECTS credits in one of the following subject areas: social- and natural sciences, engineering, statistics, or mathematics
- 15 ECTS credits in statistics, computer science, mathematics, or equivalent at advanced level
- English corresponding to the level of English in Swedish upper secondary education (Engelska 6)
Exemption from Swedish
Selection
Tuition fees
SEK 17600 - NB: Applies only to students from outside the EU, EEA and Switzerland.
If you have questions about the course, contact us
Károly Takács, course director
Madelene Töpfer, course administrator
Jonas Johansson, study adviser
Social Network Analysis
Spring 2025, Half-time, Norrköping
Semester
Spring 2025
Place of study
Norrköping
Pace of study
Half-time
Level
Second cycle
Teaching form
On-Campus
Education Time
Day-time
Education Language
English
Course offering id
LIU-46105
Period
202504 - 202513
Number of Places
2
Specific requirements
- 180 ECTS credits passed including 90 ECTS credits in one of the following subject areas: social- and natural sciences, engineering, statistics, or mathematics
- 15 ECTS credits in statistics, computer science, mathematics, or equivalent at advanced level
- English corresponding to the level of English in Swedish upper secondary education (Engelska 6)
Exemption from Swedish
Selection
Tuition fees
SEK 17600 - NB: Applies only to students from outside the EU, EEA and Switzerland.