AI421

Course Name: 

Social Computing (AI421)

Programme: 

B.Tech (AI)

Category: 

Programme Specific Electives (PSE)

Credits (L-T-P): 

(3-0-2) 4

Content: 

Emergence of the Social Web, Statistical Properties of Social Networks, Network analysis -concepts and graph centrality measures, Complete networks, Ego Networks, Random networks, Homophily, Small World Phenomenon, Structural Holes, Time, Sub-groups, Blockmodels and Strategic Network Formation, Empirical Models of Network Formation, Community detection, Influence maximization, Link mining and prediction, Social network based recommender systems, Anomaly detection in social networks, Mining Discussion networks, Visualizing Online Social Networks, Large-scale social network analysis applications and case studies, Emerging trends and issues.

References: 

Computational Social Network Analysis: Trends, Tools and Research Advances, Springer, 2012
Charu C. Aggarwal, ―Social Network Data Analytics, Springer; 2014
Evolution in Social Networks. Ajith Abraham, Aboul Ella Hassanien, Václav Snášel
Borko Furht, ―Handbook of Social Network Technologies and Applications, Springer, 1st edition, 2011
Giles, Mark Smith, John Yen, ―Advances in Social Network Mining and Analysis, Springer, 2010.

Department: 

Information Technology
 

Contact us

Head of the Department,
Department of Information Technology,
National Institute of Technology Karnataka,
SurathkalP. O. Srinivasnagar, Mangalore - 575 025
Ph.:    +91-824-2474056
Email:  hodit [at] nitk [dot] edu [dot] in
 

Web Admin: Sowmya Kamath S

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