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.
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
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
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
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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.
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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
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