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SDSC3016 - Social Network Analysis

Offering Academic Unit
School of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
SDSC1001* and SDSC2001

* Pre-requisite SDSC1001 will be exempted for students who are enrolled in Minor in Data Science
Course Offering Term*:
Semester B 2022/23 (Tentative)

* 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: 40%
Examination: 60%
Examination Duration: 2 hours
 
Detailed Course Information

SDSC3016.pdf

Useful Links

School of Data Science