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521157A Introduction to Social Network Analysis, 5 ECTS cr 
Code 521157A  Validity 01.08.2017 -
Name Introduction to Social Network Analysis  Abbreviation IntrSocNetAN 
Scope5 ECTS cr   
Type Intermediate Studies Discipline4307 Information Engineering 
  Grading1 - 5, pass, fail 
Unit Computer Science and Engineering DP 

Mourad Oussalah 

ECTS Credits 

5 ECTS credits / 120 hours of works

Language of instruction 



Period 4. It is recommended to complete the course at the end of period 4

Learning outcomes 

Upon completing the course, the student is expected to i) understand social aspects of the web; ii) learn to
collect, clean and represent social media data; iii) quantify important properties of social media; iv) find
and analyze (online) communities; v) understand the diffusion process in social network; vi) familiarize with
simple modelling toolkits for social media analysis


The course describes basics of social network analysis, allowing the students to understand structure
and evolution of the network, while enabling them to use appropriate tools and techniques to draw
inferences and discover hidden patterns from the network. The course is designed to accommodate
computer science, mathematical and social science student background, which helps in emergence of
multi-disciplinary research in the university

Mode of delivery 

Face- to-face teaching and laboratory sessions

Learning activities and teaching methods 

Lectures (24 h), tutorial/laboratory sessions (12h), seminar (6 h) and practical work. The course is passed with an approved practical work and class test. The implementation is fully in English.

Target group 

Students with moderate logical reasoning skills

Prerequisites and co-requisites 


Recommended optional programme components 

The course is an independent entity and does not require additional studies carried out at the same time

Recommended or required reading 

R. Zafarani, M. A. Abbasi, and H. Liu, Social Media Mining: An Introduction, Cambridge University Press, 2014

Assessment methods and criteria 

One class test (30%) in the middle of the term + Project work (70%)

Read more about assessment criteria at the University of Oulu webpage.



Person responsible 

Mourad Oussalah

Working life cooperation 


Other information 

We hope to attract students from humanties, economics and political in order to encourage multidisciplinary studies and enforce interesting student projects where each group contains at least one student from computer science and one from another faculty.


Current and future instruction
Functions Name Type ECTS cr Teacher Schedule
Registration Introduction to Social Network analysis  Course  Mourad Oussalah  15.03.21 -07.05.21

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