Course Outcomes

CO1: To understand the basics of social networks and its modelling.
CO2: To understand the fundamental of social data analytics.
CO3: Understand and apply the data mining concepts in social networks.
CO4: Carry out some case studies in social network analysis.

Unit 1

Online Social Networks (OSNs)
Introduction – Types of social networks (e.g., Twitter, Facebook), Measurement and Collection of Social Network Data. Techniques to study different aspects of OSNs — Follower-followee dynamics, link farming, spam detection, hashtag popularity and prediction, linguistic styles of tweets. Case Study: An Analysis of Demographic and Behaviour Trends using Social Media: Facebook, Twitter and Instagram

Unit 2

Fundamentals of Social Data Analytics
Introduction – Working with Social Media Data, Topic Models, Modelling social interactions on the Web – Agent Based Simulations, Random Walks and variants, Case Study: Social Network Influence on Mode Choice and Carpooling during Special Events: The Case of Purdue Game Day

Unit 3

Applied Social Data Analytics
Application of Topic models, Information Diffusion, Opinions and Sentiments – Mining, Analysis and Summarization, Case Study: Sentiment Analysis on a set of Movie Reviews using Deep Learning techniques, Recommendation Systems, Language dynamics and influence in online communities, Community identification, link prediction and topical search in social networks, Case Study: The Interplay of Identity and Social Network: A Methodological and Empirical Study

1. Cioffi-Revilla, Claudio. Introduction to Computational Social Science, Springer, 2014.
2. Matthew A. Russell. Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Google+, Github, and More, 2nd Edition, O’Reilly Media, 2013.
3. Robert Hanneman and Mark Riddle. Introduction to social network methods. Online Text Book, 2005.
4. Jennifer Golbeck, Analyzing the social web, Morgan Kaufmann, 2013.
5. Claudio Castellano, Santo Fortunato, and Vittorio Loreto, Statistical physics of social dynamics, Rev. Mod. Phys. 81, 591, 11 May 2009.
6. S. Fortunato and C. Castellano, Word of mouth and universal voting behaviour in proportional elections, Phys. Rev. Lett. 99, (2007).
7. Douglas D. Heckathorn, The Dynamics and Dilemmas of Collective Action, American Sociological Review (1996).
8. Michael W. Macy and Robert Willer, From factors to actors: Computational Sociology and Agent-Based Modeling, Annual Review of Sociology Vol. 28: 143-166 (2002).
9. Nilanjan Dey Samarjeet Borah Rosalina Babo Amira Ashour, Social Network Analytics – Computational Research Methods and Techniques, First Edition, eBook ISBN: 9780128156414, Paperback ISBN: 9780128154588, Imprint: Academic Press, Published Date: 23rd November 2018