Social Network Analysis detailed syllabus for Information Technology (IT) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the IT students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Information Technology 6th Sem scheme and its subjects, do visit IT 6th Sem 2019 regulation scheme. For Professional Elective-II scheme and its subjects refer to IT Professional Elective-II syllabus scheme. The detailed syllabus of social network analysis is as follows.
Course Objective:
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Unit I
Introduction
Social Network Analysis: Definition and Features – The Development of Social Network Analysis – Basic Graph Theoretical Concepts of Social Network Analysis – Ties, Density, Path, Length, Distance, Betweenness, Centrality, Clique – Electronic Sources for Network Analysis – Electronic Discussion Networks, Blogs and Online Communities, Web-based Networks – Applications of Social Network Analysis.
Suggested Activities:
- Practical – Study of existing social networks and calculate the social network related metrics.
- Flipped classroom on fundamental mathematical knowledge on graphs and tutorial activity.
- External learning – Problems on calculation of ties, density, path, length, distance, betweenness, centrality, clique.
Suggested Evaluation Methods:
- Demonstration of social network creation and calculating the related metrics.
- Tutorial on graphs and its related terminologies.
- Assignments on calculation of ties, density, path, length, distance, betweenness, centrality, clique.
Unit II
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Unit III
Semantic Technology for Social Network Analysis
Introduction To Ontology Based Knowledge Representation – Ontology Languages for the Semantic Web – Rdf and Owl – Modeling Social Network Data – Network Data Representation, Ontological Representation of Social Individuals and Relationships -Aggregating and Reasoning With Social Network Data – Advanced Representations.
Suggested Activities:
- Practical – Use of the features available in various ontology tools like Protege.
- Flipped classroom on basic concepts of semantic web and ontology.
- External learning – Knowledge on semantic technology.
Suggested Evaluation Methods:
- Demonstration of created ontology.
- Tutorials on semantic web related terminologies.
- Quizzes on semantic technology for SNA.
Unit IV
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Unit V
Visualization and Applications of Social Networks
Visualization of Social Networks Node-Edge Diagrams – Random Layout – Force-Directed Layout – Tree Layout – Matrix Representations -Matrix and Node-Link Diagrams – Hybrid Representations – Visualizing Online Social Networks – Applications – Covert Networks -Community Welfare – Collaboration Networks – Co-Citation Networks – Data Privacy in Social Networks
Suggested Activities:
- Practical – Knowledge about tools related to social networks and implementation of social network visualizations using tools such as Gephi, Cytoscape.
- Flipped classroom on applications of social networks.
- External learning – How visualization is used in various real time SN applications.
Suggested Evaluation Methods:
- Demonstration of visual social networks
- Tutorials on applications of social networks.
- Quizzes on types of visualizations for social networks
- Group discussion on privacy and security of Aadhar.
Course Outcome:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Text Books:
- Peter Mika, “Social Networks and the Semantic Web”, Springer, 2007.
- Borko Furht, “Handbook of Social Network Technologies and Applications”, Springer, 2010.
- Song Yang, Franziska B. Keller, Lu Zheng, “Social Network Analysis: Methods and Examples”, Sage Publication, 2016.
References:
- GuandongXu, Yanchun Zhang, Lin Li, “Web Mining and Social Networking Techniques and Applications”, Springer, 2011.
- Max Chevalier, Christine Julien, Chantal Soule-Dupuy, “Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modelling”, IGI Global, 2009.
- John G. Breslin, Alexandre Passant, Stefan Decker, “The Social Semantic Web”, Springer, 2009.
- John Scott, Peter J. Carrington, “The SAGE Handbook of Social Network Analysis”, Sage Publication, 2011.
For detailed syllabus of all the other subjects of Information Technology 6th Sem, visit IT 6th Sem subject syllabuses for 2019 regulation.
For all Information Technology results, visit Anna University IT all semester results direct link.