COMP 7025 Social Media Intelligence
Credit Points 10
Legacy Code 301494
Coordinator Laurence Park Opens in new window
Description Social Media Intelligence presents the theory and practice of extracting and analysing information from social media networks. The aims are to identify properties of social networks, and to make predictions about future events. Topics included will cover areas such as Graph theory, Game theory and Network dynamics and we will identify how these can be used to model and extract information from Facebook and Twitter.
School Computer, Data & Math Sciences
Discipline Computer Science
Student Contribution Band HECS Band 2 10cp
Check your fees via the Fees page.
Level Postgraduate Coursework Level 7 subject
Assessment
The following table summarises the standard assessment tasks for this subject. Please note this is a guide only. Assessment tasks are regularly updated, where there is a difference your Learning Guide takes precedence.
| Type | Length | Percent | Threshold | Individual/Group Task | Mandatory |
|---|---|---|---|---|---|
| Quiz | 5 x 30 minutes | 20 | N | Individual | N |
| Report | 2000 words | 30 | N | Individual | N |
| Final Exam | 2 hours | 50 | N | Individual | Y |
Teaching Periods
Autumn (2024)
Melbourne
On-site
Subject Contact Laurence Park Opens in new window
View timetable Opens in new window
Parramatta - Victoria Rd
On-site
Subject Contact Vishal Patel Opens in new window
View timetable Opens in new window
Quarter 2 (2024)
Parramatta City - Macquarie St
On-site
Subject Contact Vishal Patel Opens in new window
View timetable Opens in new window
Autumn (2025)
Melbourne
On-site
Subject Contact Laurence Park Opens in new window
View timetable Opens in new window
Parramatta - Victoria Rd
On-site
Subject Contact Vishal Patel Opens in new window
View timetable Opens in new window
Quarter 2 (2025)
Parramatta City - Macquarie St
On-site
Subject Contact Vishal Patel Opens in new window