Analysis of Social Networks
People
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
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
- Duxbury, Scott. Longitudinal Network Models. SAGE Publications, 2022.
- Wasserman, Stanley, Faust, Katherine. Social Network Analysis: Methods and Applications. Cambridge University Press, 1994.
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Amati, Viviana, Lomi, Alessandro, Mira, Antonietta. "Social Network Modeling" Annual Review of Statistics and Its Application, 5 (2018): 343-369.
10.1146/annurev-statistics-031017-100746 -
Bianchi, Federica, Filippi-Mazzola, Edoardo, Lomi, Alessandro, Wit, Ernst C.. "Relational Event Modeling" Annual Review of Statistics and Its Application, 11 (2024): 297-319.
10.1146/annurev-statistics-040722-060248 -
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 - 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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Snijders, Tom A.B.. "Stochastic Actor-Oriented Models for Network Dynamics" Annual Review of Statistics and Its Application, 4 (2017): 343-363.
10.1146/annurev-statistics-060116-054035
Education
- Master of Science in Computational Science, Lecture, 2nd year
