Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
On campus
Duration
Not Available
Details
Program Details
Degree
Masters
Major
Computer Science | Data Analysis
Area of study
Information and Communication Technologies | Social Sciences
Education type
On campus
Course Language
English
Intakes
Program start dateApplication deadline
2025-09-01-
About Program

Program Overview


Analysis of Social Networks

Description

The course offers a comprehensive examination of Social Network Analysis, investigating how connections between social entities influence behaviors and outcomes. It covers fundamental principles, advanced statistical methodologies, and practical applications for extracting strategic value from network data. Participants will work on developing research projects, applying theoretical knowledge to real-world contexts under the guidance of instructors.


Objectives

By the end of this course, participants will be able to apply fundamental mathematical and computational methods to effectively analyze real-world social network data.


Teaching Mode

The course will be taught in presence.


Learning Methods

  • Lectures, exercises, and tutoring sessions.
  • Slides and lecture notes provided by instructors.

Examination Information

The course evaluation comprises a midterm examination (20%), a research project status report (30%), and a final project presentation (50%).


Bibliography

Compulsory

  • Duxbury, Scott. Longitudinal Network Models. SAGE Publications, 2022.
  • Wasserman, Stanley, Faust, Katherine. Social Network Analysis: Methods and Applications. Cambridge University Press, 1994.

Deepening

  • Amati, Viviana, Lomi, Alessandro, Mira, Antonietta. "Social Network Modeling" Annual Review of Statistics and Its Application, 5 (2018): 343-369.
  • Bianchi, Federica, Filippi-Mazzola, Edoardo, Lomi, Alessandro, Wit, Ernst C.. "Relational Event Modeling" Annual Review of Statistics and Its Application, 11 (2024): 297-319.
  • Butts, Carter T.. "Social Network Analysis: A Methodological Introduction" Asian Journal Of Social Psychology, 11, 1 (2008): 13-41.
  • Hennig, Marina, Borgatti, Stephen P.. Studying Social Networks: A Guide to Empirical Research. Frankfurt: Campus, 2012.
  • Kolaczyk, Eric D., Cs·rdi, G·bor. Statistical Analysis of Network Data with R. New York: Springer, 2014.
  • Kolaczyk, Eric D.. Statistical Analysis of Network Data: Methods and Models. New York: Springer, 2009.
  • Snijders, Tom A.B.. "Stochastic Actor-Oriented Models for Network Dynamics" Annual Review of Statistics and Its Application, 4 (2017): 343-363.

Education

  • Master of Science in Computational Science, Lecture, 2nd year

Additional Information

  • Semester: Fall
  • Academic year:
  • ECTS: 6.0
  • Language: English
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