Analysis of Social Networks
People
Course director
Course director
Course director
Assistant
Description
Social network analysis reveals how connections between individuals and groups influence their actions. This course covers fundamental principles, statistical methodologies, and applications in the field, along with leveraging machine-learning algorithms for extracting value from network data.
Throughout the course, students will be actively involved, with the guidance of instructors, in developing research projects that have the potential to serve as the basis for publication in top-tier peer-reviewed journals.
Objectives
By the end of the course, participants will be able to master the main mathematical and computational methods used in the analysis of social networks and know how to apply those methods to real-life network data.
Teaching mode
In presence
Learning methods
- Lectures, exercises, and tutoring sessions.
- Slides and lecture notes provided by the lecturer.
Examination information
The assessment will consist of a midterm exam (20%), a status report on the research project (30%), and a final presentation showcasing the project's findings (50%).
Bibliography
- Aggarwal, Manasvi, Murty, M.N.. Machine Learning in Social Networks: Machine Learning in Social Networks. Springer Singapore, 2021.
- Amati, Viviana, Lomi, Alessandro, Mira, Antonietta. "Social Network Modeling" Annual Review of Statistics and Its Applications, 5 (2018): 343-369.
- Bianchi, Federica, Filippi-Mazzola, Edoardo, Lomi, Alessandro, Wit, Ernst C.. "Relational Event Modeling" Annual Review of Statistics and Its Applications, 11 (2024): 297-319.
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Butts, Carter T.. "Social network analysis: A methodological introduction" Asian Journal Of Social Psychology, 11, 1 (2008): 13-41.
10.1111/j.1467-839x.2007.00241.x - Duxbury, Scott. Longitudinal Network Models: Quantitative Applications in the Social Sciences. SAGE Publications, 2022.
- Hennig, Marina, Borgatti, Stephen P.. Studying Social Networks: A Guide to Empirical Research. Frankfurt: Campus, 2012.
- Kolaczyk, Eric D., Csárdi, Gábor. 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.
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Labianca, Giuseppe, Brass, Daniel J., Mehra, Ajay, Borgatti, Stephen P.. "Network Analysis in the Social Sciences" Science, 323, 5916 (2009): 892-895.
10.1126/science.1165821 -
Snijders, Tom A.B.. "Stochastic Actor-Oriented Models for Network Dynamics" Annual Review of Statistics and Its Applications, 4 (2015): 343-363.
10.1146/annurev-statistics-060116-054035 - Wasserman, Stanley, Faust, Katherine. Social Network Analysis: Social Network Analysis. Cambridge University Press, 1994.
Education
- Master of Science in Computational Science, Lecture, Elective, 2nd year
