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NPTEL Social Networks Assignment 2 Answers 2023:
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Q.1. Consider the ingredient network where a node represents an ingredient and an edge exists between two nodes if there is a dish where both the ingredients are used. Which of the following statements is true for the nodes of the same community in such a network?
- ingredients that are often used together
- ingredients that are never used together
- ingredients that are rarely used together
- none of the above
Q.2. For the Synonymy network, the path from Love to Hatred is because
- Both are synonymous
- both the words are connected by anonymous words
- of degradation of synonymity along the path
- mistake in edges connecting them
Q.3. Identify the network that is a Directed graph.
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Q.4. Which of the following statements is True for GML format of networks?
Statement I: Labels and attributes can be added
Statement II: Weights cannot be added
- Only I
- Only II
- Both I and II
- Neither I nor II
Q.5. The degree distribution of most real world datasets follows
Q.6. Given a complete graph with 99 nodes, what is the average clustering coefficient?
Q.7. What is the diameter of Graph G?
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Q.8. Calculate the clustering coefficient of vertex ’0’ in the following graph H.
Q.9. Given n nodes, what is the minimum number of edges required to make the graph connected?
Q.10. Calculate the density of the following graph
- Answer: 0.80
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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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