Social Networking Analysis

January - May 2018

Social Networking Analysis is a three credit course offered as an elective to M.Tech CS, AI and IT

The course syllabus and schedule for this semester is here

Assignments for this course will be put up in Moodle server as they are announced

Submission Policy: Create rollnumber.tar, by first saving your programs, input/output files (if any) and readme file into a directory called by your rollnumber. For example, first make a directory called 15MCMT10 and then tar it and call it 16MCMT10.tar

Submissions to be made in the moodle server

The books recommended for this course are

• M.E.J. Newman: Networks : An Introduction, OUP, 2012
• Network Data Analytics, Ed. Charu C.Aggarwal, Springer, 2011
• David Easley, Jon Kleinberg: Networks, Crowds and Markets: Reasoning about a highly connected world, Cambridge Univ Press 2010
• S.Wasserman, K.Faust: Social Network Analysis: Methods and Applications, Cambridge Univ Press, 1994

Evaluation:

Internal: 40 Marks

• Best of Two Minors : 15 Marks
• Assignments and Mini-Project: 10+15: 25 Marks

Course Instructor: Dr. S. Durga Bhavani