CD3004: Social Data Mining syllabus for CSD 2021 regulation (Professional Elective-IV)

Social Data Mining detailed syllabus for Computer Science & Design (CSD) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CSD students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Computer Science & Design 6th Sem scheme and its subjects, do visit CSD 6th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to CSD Professional Elective-IV syllabus scheme. The detailed syllabus of social data mining is as follows.

Course Objectives:

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Unit I

DATA MINING FOUNDATIONS
Introduction – Data mining functionalities – Classification of Data mining systems – Preprocessing – Association Rules and Sequential Patterns – Supervised Learning – Unsupervised Learning -Partially Supervised Learning – Association Rule Mining – Classification – Clustering.

Unit II

ANALYZING THE SOCIAL WEB
Introduction – Nodes, Edges, and Network Measures – Network Structure and Measures – Network Visualization – Social Information Filtering – Social Media in the Public Sector- Privacy

Unit III

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Unit I

ES AND INTERACTIONS
Community Analysis – Detection – Evolution – Evaluation – Information Diffusion in social media -Herd behavior – Information Cascades – Diffusion of Innovations – Epidemics

Unit V

APPLICATIONS
Influence and Homophily – Recommendation in Social Media – Classical Recommendation Algorithms – Recommendation using Social Context – Evaluating Recommendations – Behavior Analytics- Individual and Collective Behavior

Course Outcomes:

1. Students will study to collect user-generated information from social media platforms.
2. Extract valuable data from consumers for identifying patterns and trends
3. Perform social media monitoring and arrive business conclusions for application.
4. Detection of spammers and bots in social media platform.
5. Exploring the research perspective of social media data.

Text Books:

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Reference Books:

1. Reza Zafarani, Mohammad Ali Abbasi and Huan Liu, “Social Media Mining – An Introduction”, Cambridge University Press, 2014.
2. Matthew A.Russell, “Mining the social web”, 2nd edition- O’Reilly Media, 2013.
3. Jennifer Golbeck, Analyzing the social web, Morgan Kaufmann, 2013.
4. Social Media Data Mining and Analytics Paperback ,by Gabor Szabo , Gungor Polatkan , P. Oscar Boykin , Antonios Chalkiopoulos ,Wiely Publisher 2018
5. Advanced Data Mining Tools and Methods for Social Computing ,Sourav De, Sandip Dey, Siddhartha Bhattacharyya, Surbhi Bhatia,Elsiever,2022

For detailed syllabus of all the other subjects of Computer Science & Design 6th Sem, visit CSD 6th Sem subject syllabuses for 2021 regulation.

For all Computer Science & Design results, visit Anna University CSD all semester results direct link.