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B.Sc. (Data Science) Social Media Analytics Syllabus - Mumbai University

This is the Fourth Year BSc Data Science Honours syllabus under NEP 2020, phased in one year at a time, from the academic year 2024-25. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

Social Media Analytics Syllabus.pdf
Major elective · Semester 8 · Fourth Year BSc Data Science Honours · 2 credits · 50 marks

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Syllabus for Social Media Analytics

Major elective · Semester 8 · Fourth Year BSc Data Science Honours · 2 credits · 50 marks

Module I: Social Media Analytics: An Overview

  • Core Characteristics of social media, Types of social media, social media landscape, Need for Social Media Analytics (SMA), Seven Layers of Social Media Analytics, Types of Social Media Analytics, Social Media Analytics Cycle, Location Analytics - Sources of Location Data, Categories of Location Analytics, Social Information Filtering: Social Sharing and filtering, Automated Recommendation systems, Traditional Vs social Recommendation Systems, understanding social media and Business Alignment, social media KPI, formulating a Social Media Strategy, Managing Social Media Risks Case Study: Online Behavior on Twitter

Module II: Social Network Structure, Measures & Visualization

  • Basics of Social Network Structure - Nodes, Edges & Tie Describing the Networks Measures - Degree Distribution, Density, Connectivity, Centralization, Tie Strength & Trust. Network Visualization - Graph Layout, Visualizing Network features, Scale Issues. Capturing Correlations: Triangles, Clustering, and Assortativity. Social Media Network Analytics - Common Network Terms, Common Social Media Network Types, Types of Networks, Common Network Terminologies, Network Analytics Tools. Case Study: LinkedIn 10 Text Books 1. Seven Layers of Social Media Analytics_ Mining Business Insights from Social Media Text, Actions, Networks, Hyperlinks, Apps, Search Engine, and Location Data, Gohar F. Khan, 2015 2. Analyzing the Social Web 1st Edition by Jennifer Golbeck, 2013 11 Reference Books 1. Mining the Social Web_ Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites, Matthew A Russell, O‘Reilly, 2019 2. Charu Aggarwal (ed.), Social Network Data Analytics, Springer, 2011 12 Internal Continuous Assessment: 50% Semester End Examination: 50%

Text Books

  • 1 Seven Layers of Social Media Analytics_ Mining Business Insights from Social Media Text, Actions, Networks, Hyperlinks, Apps, Search Engine, and Location Data, Gohar F. Khan, 2015
  • 2 Analyzing the Social Web 1st Edition by Jennifer Golbeck, 2013
  • 1 Mining the Social Web_ Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites, Matthew A Russell, O‘Reilly, 2019
  • 2 Charu Aggarwal (ed.), Social Network Data Analytics, Springer, 2011

Reproduced from the University of Mumbai syllabus for B.Sc. (Data Science) under NEP 2020. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF 2024 25 DS SEM I & II NEP NEP 2020 syllabus, in force from 2024-25 Read full PDF Read
PDF 2023 24 BSc Data Science Sem V & VI Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
PDF 2021 22 BSc Data Science Sem III & IV Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
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