BCAM061 Social Media Analytics and Data Analysis Syllabus
AKTU B.Tech · 3rd Year · Unit-wise syllabus (effective 2024-25)
BCAM061 Social Media Analytics and Data Analysis (also written as KCAM061) is a subject in the 3rd year of the AKTU B.Tech programme, prescribed by Dr. A.P.J. Abdul Kalam Technical University. The syllabus is divided into 5 units. The complete unit-wise topic list, course outcomes and reference books are given below, taken from the official AKTU syllabus effective from 2024-25.
BCAM061 Subject Details
| Subject Code | BCAM061 / KCAM061 |
|---|---|
| Subject Name | Social Media Analytics and Data Analysis |
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU) |
| Course | B.Tech (Bachelor of Technology) |
| Year / Semester | 3rd Year |
| Total Units | 5 |
| Scheme Effective From | 2024-25 |
| Last Verified | 2026-08-19 |
BCAM061 Social Media Analytics and Data Analysis Unit-Wise Syllabus
Official AKTU syllabus (effective 2024-25) — 5 units.
Unit 1
Introduction to Social Media Introduction to Social Media, Social Media Landscape, Social Media Analytics & its Need. SMA in Small and Large Organisations; Application of SMA in Different Social Media Platforms. Types of Social Networks, friend, user-generated content, affiliation, etc., sociograms, sociometric studies Basics of Social Media and Business Models, Basics of Web Search Engines and Digital Advertising, Application of SMA in different areas.
Unit 2
Graphs and Matrices The adjacency matrix, paths, connectivity, Distance and Breadth First Search, Network Datasets: An Overview Nodes, ties, and influencers, Making connections, Link analysis. Random graphs and network evolution. Weighted Networks, Hypergraphs
Unit 3
Network Fundamentals Network Structures, equivalence, homophile, clustering, snowball sampling, contact tracing and random walks, Ego-ceneterd networks, dominance hierarchies, Third Party Records, affiliation Network Citation Networks, Peer to Peer Networks, Recommender Networks, Biological Networks
Unit 4
Social Network and Modelling Social Contexts: Affiliation and Identity, social capital, structural holes, structural balance, Predictive Modeling, Descriptive Modeling, community/ anomaly detection Facebook Analytics: Introduction, parameters, demographics, Analyzing page audience. Reach and Engagement analysis Google Analytics: Brief Implementation Technology, Limitations, Performance Concerns, Privacy Issues. Introduction and Working, Google Website Optimizer
Unit 5
Processing, Visualizing and Social Media Data Analytics Processing and Visualizing Data, Influence Maximization,Link Prediction, Collective Classification, Applications in Advertising and Game Analytics, collecting and visualizing social media data, visualization and exploration. Social Network and Web Data Analytics Methods, Clickstream analysis, A/B testing, online surveys, Web crawling and Indexing. Natural Language ProcessingTechniques for Micro-text Analysis, Trend, social influencers on judgements, opinion spread, judgement
BCAM061 Course Outcomes
- At the end of course, the student will be able to: Knowledge
- Level (KL)
- CO 1 Understand basic concepts and need of social media analysis
- Proposed
- CO 2 Understand the fundamental of graphs and matrices in social media analysis Lecture
- CO 3 Understand networking fundamentals of social media analysis
- CO 4 Understand social networking and modelling concepts and methods
- CO 5 Understand processing and visualizing social media data
- DETAILED SYLLABUS
BCAM061 Reference Books
- Matthew Ganis, Avinash Kohirkar, Social Media Analytics: Techniques and Insights for Extracting Business Value
- Jim Sterne, Social Media Metrics: How to Measure and Optimize Your Marketing Investment Wiley Latest edition
- Brian Clifton, Advanced Web Metrics with Google Analytics, John Wiley & Sons; 3rd Edition edition (30 Mar
- Ganis/Kohirka, SOCIAL MEDIA ANALYTICS Paperback – 29 September 2016 by Pearson.
Frequently Asked Questions about BCAM061
What is the syllabus of BCAM061 Social Media Analytics and Data Analysis?
The AKTU BCAM061 Social Media Analytics and Data Analysis syllabus is divided into 5 units. The complete topic list for each unit is published on this page, taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus effective from 2024-25.
How many units are there in BCAM061?
BCAM061 Social Media Analytics and Data Analysis has 5 units in the AKTU syllabus.
Is BCAM061 the same subject as KCAM061?
Yes. AKTU renumbered its B.Tech subject codes from the 2022-23 session onwards, so the same subject appears as BCAM061 and KCAM061 depending on the scheme year. The syllabus content is the same.
Where can I download BCAM061 previous year question papers?
AKTU B.Tech previous year question papers for every semester are available to download free on Ryzenstudy, with no login or registration required.
Is this the official AKTU syllabus for BCAM061?
Yes. Every topic on this page is taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus document (AKTU B.Tech 3rd Year Computer Science and Engineering (Data Science) Syllabus), effective from 2024-25. A direct link to the original AKTU PDF is provided at the top of this page. Last verified on 2026-08-19.
Related AKTU Syllabus
Source: Dr. A.P.J. Abdul Kalam Technical University official syllabus — AKTU B.Tech 3rd Year Computer Science and Engineering (Data Science) Syllabus, effective from 2024-25. Ryzenstudy is not affiliated with AKTU. Content last verified on 2026-08-19.