Social Network Analysis It 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective IV) detail syllabus for Information Technology (It), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (CS8085), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other it 8th sem syllabus for be 2017 regulation anna univ you can visit It 8th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective IV subjects do refer to Professional Elective IV. The detail syllabus for social network analysis is as follows.
Course Objective:
- To understand the concept of semantic web and related applications.
- To learn knowledge representation using ontology.
- To understand human behaviour in social web and related communities.
- To learn visualization of social networks.
Unit I
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.
Unit II
Modelling, Aggregating and Knowledge
REPRESENTATION 9
Ontology and their role in the Semantic Web: Ontology-based knowledge Representation – Ontology languages for the Semantic Web: Resource Description Framework – Web Ontology Language -Modelling and aggregating social network data: State-of-the-art in network data representation -Ontological representation of social individuals – Ontological representation of social relationships -Aggregating and reasoning with social network data – Advanced representations.
Unit III
Extraction and Mining CommUnit I
Es in Web Social
NETWORKS 9
Extracting evolution of Web Community from a Series of Web Archive – Detecting communities in social networks – Definition of community – Evaluating communities – Methods for community detection and mining – Applications of community mining algorithms – Tools for detecting communities social network infrastructures and communities – Decentralized online social networks – Multi-Relational characterization of dynamic social network communities.
Unit IV
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.
Unit V
Visualization and Applications of Social Networks
Graph theory – Centrality – Clustering – Node-Edge Diagrams – Matrix representation – Visualizing online social networks, Visualizing social networks with matrix-based representations – Matrix and Node-Link Diagrams – Hybrid representations – Applications – Cover networks – Community welfare -Collaboration networks – Co-Citation networks.
Course Outcome:
Upon completion of the course, the students should be able to:
- Develop semantic web related applications.
- Represent knowledge using ontology.
- Predict human behaviour in social web and related communities.
- Visualize social networks.
Text Books:
- Peter Mika, Social Networks and the Semantic Web, First Edition, Springer 2007.
- Borko Furht, Handbook of Social Network Technologies and Applications, 1st Edition, Springer, 2010.
References:
- Guandong Xu ,Yanchun Zhang and Lin Li, Web Mining and Social Networking – Techniques and applications, First Edition, Springer, 2011.
- Dion Goh and Schubert Foo, Social information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively, IGI Global Snippet, 2008.
- Max Chevalier, Christine Julien and Chantal Soule-Dupuy, Collaborative and Social Information Retrieval and Access: Techniques for Improved user Modelling, IGI Global Snippet, 2009.
- John G. Breslin, Alexander Passant and Stefan Decker, The Social Semantic Web, Springer,
.
For detail syllabus of all other subjects of BE It, 2017 regulation do visit It 8th Sem syllabus for 2017 Regulation.
Dont forget to download iStudy for latest syllabus and results, class timetable and more.
Social Network Analysis It 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective IV) detail syllabus for Information Technology (It), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (CS8085), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other it 8th sem syllabus for be 2017 regulation anna univ you can visit It 8th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective IV subjects do refer to Professional Elective IV. The detail syllabus for social network analysis is as follows.
Course Objective:
Unit I
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.
Unit II
Modelling, Aggregating and Knowledge
REPRESENTATION 9
Ontology and their role in the Semantic Web: Ontology-based knowledge Representation – Ontology languages for the Semantic Web: Resource Description Framework – Web Ontology Language -Modelling and aggregating social network data: State-of-the-art in network data representation -Ontological representation of social individuals – Ontological representation of social relationships -Aggregating and reasoning with social network data – Advanced representations.
Unit III
Extraction and Mining Comm- Develop semantic web related applications.
- Represent knowledge using ontology.
- Predict human behaviour in social web and related communities.
- Visualize social networks.
- Peter Mika, Social Networks and the Semantic Web, First Edition, Springer 2007.
- Borko Furht, Handbook of Social Network Technologies and Applications, 1st Edition, Springer, 2010.
- Guandong Xu ,Yanchun Zhang and Lin Li, Web Mining and Social Networking – Techniques and applications, First Edition, Springer, 2011.
- Dion Goh and Schubert Foo, Social information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively, IGI Global Snippet, 2008.
- Max Chevalier, Christine Julien and Chantal Soule-Dupuy, Collaborative and Social Information Retrieval and Access: Techniques for Improved user Modelling, IGI Global Snippet, 2009.
- John G. Breslin, Alexander Passant and Stefan Decker, The Social Semantic Web, Springer,
Unit I
Es in Web Social
NETWORKS 9
Extracting evolution of Web Community from a Series of Web Archive – Detecting communities in social networks – Definition of community – Evaluating communities – Methods for community detection and mining – Applications of community mining algorithms – Tools for detecting communities social network infrastructures and communities – Decentralized online social networks – Multi-Relational characterization of dynamic social network communities.
Unit IV
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.
Unit V
Visualization and Applications of Social Networks
Graph theory – Centrality – Clustering – Node-Edge Diagrams – Matrix representation – Visualizing online social networks, Visualizing social networks with matrix-based representations – Matrix and Node-Link Diagrams – Hybrid representations – Applications – Cover networks – Community welfare -Collaboration networks – Co-Citation networks.
Course Outcome:
Upon completion of the course, the students should be able to:
Text Books:
References:
.
For detail syllabus of all other subjects of BE It, 2017 regulation do visit It 8th Sem syllabus for 2017 Regulation.
Dont forget to download iStudy for latest syllabus and results, class timetable and more.