Social Network Analysis IS 5th Sem Syllabus for VTU BE 2017 Scheme (Professional Elective-1)

Social Network Analysis detail syllabus for Information Science Engineering (IS), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17IS552), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.

For all other is 5th sem syllabus for be 2017 scheme vtu you can visit IS 5th Sem syllabus for BE 2017 Scheme VTU Subjects. For all other Professional Elective-1 subjects do refer to Professional Elective-1. The detail syllabus for social network analysis is as follows.

Module 1

Introduction to social network analysis and Descriptive network analysis: Introduction to new science of networks. Networks examples. Graph theory basics. Statistical network properties. Degree distribution, clustering coefficient. Frequent patterns. Network motifs. Cliques and k-cores.

Module 2
For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.

Module 3

Network communities and Affiliation networks: Networks communities. Graph partitioning and cut metrics. Edge betweenness. Modularity clustering. Affiliation network and bipartite graphs. 1-mode projections. Recommendation systems.

Module 4

Information and influence propagation on networks and Network visualization: Social Diffusion. Basic cascade model. Influence maximization. Most influential nodes in network. Network visualization and graph layouts. Graph sampling. Low -dimensional projections

Module 5
For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.

Course Outcomes:

The students should be able to:

• Define notation and terminology used in network science.
• Demonstrate, summarize and compare networks.
• Explain basic principles behind network analysis algorithms.
• Analyze real world network.

Question paper pattern:

• The question paper will have ten questions.
• There will be 2 questions from each module.
• Each question will have questions covering all the topics under a module.
• The students will have to answer 5 full questions, selecting one full question from each module.

Text Books:

1. David Easley and John Kleinberg. “Networks, Crowds, and Markets: Reasoning About a Highly Connected World.” Cambridge University Press 2010.
2. Eric Kolaczyk, Gabor Csardi. Statistical Analysis of Network Data with R (Use R!). Springer, 2014.
3. Stanley Wasserman and Katherine Faust. “Social Network Analysis. Methods and Applications.” Cambridge University Press, 1994.

Reference Books:

1. NIL

For detail syllabus of all other subjects of BE Is, 2017 regulation do visit Is 5th Sem syllabus for 2017 Regulation.

Dont forget to download iStudy for latest syllabus and results, class timetable and more.