1. Social Networks in Most Visible Form

2. Social Networking Techniques in Business Several social networking techniques can help us in reaching maximum number of people, group, consumers etc. In least effort and cost. For example: Influence Modeling : cost effective and viral marketing. Centrality Measure Techniques: identify the key-players, key-issues and backbone networks Social Network Ties, Bridges and Relaxed Bridges: identifying strength and quality of social relations. Community Detection: identify the people’s interest, grouping strength and chances of its growing.

3. Social Mining Techniques in Research Social Networking Techniques in protein sequencing, DNA mapping and Bioinformatics and medical sciences. Social Networking Techniques in Text Mining:  More than 95% of knowledge in this word exist as un structured data i.e. Text data.  most of the state-of-the-art techniques uses social networking. The highly used social networking techniques in this field are: (1) Centrality measure techniques, (2) iterative ranking algorithms and (3) graph matching algorithms

4. Social Networking in Web Search Use of social networking Techniques in personalization of Web-search.  Use of Social Networking / Graph ranking Techniques by search engines in filtering the search results Use of Social networking community structure to filter the advertisements.

5. Course Structure Interactive Video Lecture Power Point Slides Additional study materials Learning Collection of Open Source Tools and Source codes Research Papers collections (freely available for non-commercial use) Self-Experiments Descriptive questions for self evaluation Quiz Questions Test Yourself

6. Topics Covered Basics of Graph Theory Introduction to Social Media Centrality Measures Tie Strength Influence Modeling Community Detection and Evaluation Community detection in Heterogeneous Networks Mining Information From Social Media Use of Social Networking Techniques in Other Fields