Course Name: 

Topics in Social Media Analysis (IT928)



Credits (L-T-P): 



Introduction and Phenomenology of Social Media: Social Information Processing in Social News Aggregation, Influence and correlation in social networks; Social Network Analysis: Networks, Crowds, and Markets: Reasoning about a Highly Connected World, Four Degrees of Separation; Topic Analysis: Probabilistic topic models, Matrix Factorization Techniques For Recommender Systems; Sentiment Analysis and Opinion Mining; Influence and Centrality in Social Networks; Wikipedia Knowledge Extraction; Search Query Logs; Social Ties and Information Diffusion; Social Ties and Link Prediction; Social Spam & Malicious Behavior; Geospatial Social Data Mining; Privacy in a Networked World; Health and Social Media; Politics and Social Media; Predicting Future with Social Media; Emotional Contagion, Friendship Paradox and Detection of Contagions; Crowd Sourcing; Modelling individuals and collective behaviour; Social Multimedia Analysis: Photos, Videos.


Stanley Wasserman, Katherine Faus, "Social Network Analysis: Methods & Applications", Cambridge University Press, 1994.
David Easley and Jon Kleinberg, "Networks, Crowds and Markets", Cambridge University Press, 2010
Christina Prell, "Social Network Analysis: History, Theory and Methodology", SAGE Publications, 2011.
John Scott, "Social Network Analysis", SAGE Publications, 3rd Edition, 2013.
Journal Articles from IEEE Transactions on Computational Social Systems, Elsevier Journal of Social Networks and Springer International Journal of Social Network Analysis and Mining.


Information Technology

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Department of Information Technology,
National Institute of Technology Karnataka,
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Email:  hodit [at] nitk [dot] edu [dot] in

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