CD3004 Social Data Mining Syllabus:

CD3004 Social Data Mining Syllabus – Anna University Regulation 2021

COURSE OBJECTIVES:

 To collect user-generated information from social media platforms.
 To extract valuable data from consumers for identifying patterns and trends
 To arrive business conclusions.
 To study easier detection of spammers and bots
 To study the role social media data in research .

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 MINING THE SOCIAL WEB

Mining Twitter – Mining Facebook – Mining LinkedIn – Mining Google+ – Mining GitHub – Mining Mailboxes

UNIT IV COMMUNITIES 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

TOTAL: 45 PERIODS

COURSE OUTCOMES:

CO1: Students will study to collect user-generated information from social media platforms.
CO2: Extract valuable data from consumers for identifying patterns and trends
CO3: Perform social media monitoring and arrive business conclusions for application.
CO4: Detection of spammers and bots in social media platform.
CO5: Exploring the research perspective of social media data.

TEXT BOOKS

1. Jiawei Han and Micheline Kamber, ―Data Mining Concepts and Techniques‖, Third Edition, Elsevier, 2012.
2. Bing Liu, “Web Data Mining-Exploring Hyperlinks, Contents, and Usage Data”, Springer, Second Edition, 2011.

REFERENCES:

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