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NPTEL Social Networks Assignment 4 Answers 2023:
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Q.1. Identify the type of Homophily in the following Linked inn recommendation:
”People with similar interests are following —-”
Q.2. Identify the network mechanism in play for the following transformation.
- Triadic closure
- Focal Closure
- Membership closure
- Neighborhood overlap
Q.3. Two friends Raj and Nila have taken different courses according to their interests. Raj has completed 12 courses and Nila has completed 16 courses in all. There are 7 courses that Raj and Nila have taken up in common. What is the similarity measure for Raj and Nila?
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Q.4. Suppose Manisha and Simran have a common friend with an independent probability p What is the probability that they donot have k common friends?
Q.5. What are the factors that influence the dynamics of friendships formation and behaviour of people in a network?
Q.6. In the fatman evolutionary model, what is the role of social foci?
Q.7. Compute Homophily for the given network.
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Q.8. What is the relationship that exists between the probability of any two persons(A and B) being friends with respect to the number of their common friends?
Q.9. A network having inter-community edge density and intra-community edge sparsity will definitely exhibit
- Triadic closure
Q.10. Assume there are 20 participants who have just enrolled for a workshop. Which of the following closure happen in this current state?
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Disclaimer: This answer is provided by us only for discussion purpose if any answer will be getting wrong don’t blame us. If any doubt or suggestions regarding any question kindly comment. The solution is provided by Chase2learn. This tutorial is only for Discussion and Learning purpose.
About NPTEL Social Networks Course:
The world has become highly interconnected and hence more complex than ever before. We are surrounded by a multitude of networks in our daily life, for example, friendship networks, online social networks, world wide web, road networks etc. All these networks are today available online in the form of graphs which hold a whole lot of hidden information. They encompass surprising secrets which have been time and again revealed with the help of tools like graph theory, sociology, game theory etc. The study of these graphs and revelation of their properties with these tools have been termed as Social Network Analysis.
- Week 1: Introduction
- Week 2: Handling Real-world Network Datasets
- Week 3: Strength of Weak Ties
- Week 4: Strong and Weak Relationships (Continued) & Homophily
- Week 5: Homophily Continued and +Ve / -Ve Relationships
- Week 6: Link Analysis
- Week 7: Cascading Behaviour in Networks
- Week 8: Link Analysis (Continued)
- Week 9: Power Laws and Rich-Get-Richer Phenomena
- Week 10: Power law (contd..) and Epidemics
- Week 11: Small World Phenomenon
- Week 12: Pseudocore (How to go viral on web)
CRITERIA TO GET A CERTIFICATE:
Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100
Final score = Average assignment score + Exam score
YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
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