Social Media Analytics
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Social Media Analytics Syllabus — Unit-wise Content
The official GTU curriculum for Social Media Analytics (subject code 3164304) as prescribed for AI & DS · Semester 6 divides the course into 4 units, covering 37 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3164304)Unit 1 Introduction to Social Media Analytics (SMA)
- Social media landscape
- Need for SMA
- SMA in Small organizations
- SMA in large organizations
- Application of SMA in different areas
- Network fundamentals and models : The social networks perspective - nodes
- ties and influencers
- Social network and web data and methods
- Graphs and Matrices- Basic measures for individuals and networks
- Information visualization
Unit 2 Making connections
- Link analysis
- Random graphs and network evolution
- Social contexts Affiliation and identity
- Web analytics tools : Clickstream analysis
- online surveys
- Web crawling and Indexing
- Natural Language Processing Techniques for Micro-text Analysis
Unit 3 Facebook Analytics
- Analyzing page audience
- Reach and Engagement analysis
- Post- performance on FB
- Social campaigns
- Measuring and Analyzing social campaigns
- defining goals and evaluating outcomes
- Network Analysis
- YouTube Twitter etc
- Google analytics
Unit 4 Processing and Visualizing Data, Influence Maximization, Link
- Collective Classification
- Applications in Advertising and Game Analytics (Use of tools like Unity30 / PyCharm) Introduction to Python Programming
- Collecting and analyzing social media data
- visualization and exploration
- Total Hours : 40 100 Subject Code : 3164304 Subject Name : Social Media Analytics Textbook : 1
- Social Media Analytics
- Mathew Ganis
- Avinash Koihrkar
- IBM Press. 2
- Social Media Metrics
- Jim Sterne
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