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DSC3016 - Social Network Analysis

Offering Academic Unit
Department of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
SDSC1001* or DSC1001 and SDSC2001 or DSC2001
 
 *Pre-requisite SDSC1001 or DSC1001 will be exempted for students who are enrolled in Minor in Data Science
Equivalent Course(s)
SDSC3016 
Course Offering Term*:
Semester B 2026/27

* The offering term is subject to change without prior notice
 
Course Aims

This course provides students with an extensive exposure to the elements of social network analysis, with an emphasis on applications for online social media. Topics include graph theory, complex network perspectives, social science perspectives, ego-networks, tie formation, link prediction, information cascading, bipartite/multipartite networks, dynamic networks, signed networks, and community detection.


Assessment (Indicative only, please check the detailed course information)
Continuous Assessment: 50%
Examination: 50%
Examination Duration: 2 hours
Min. Continuous Assessment Passing Requirement: 30%
Min. Examination Passing Requirement: 30%
 
Detailed Course Information
DSC3016.pdf