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  • Nptel Social Networks Week 3 Assignment Answer
Nptel Social Networks

Nptel Social Networks Week 3 Assignment Answer

January 31, 2025February 3, 2025 SciShowEngineer
ABOUT THE 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.
INTENDED AUDIENCE: Any Interested Learners

Nptel Social Networks Week 3 Assignment Answer

Course layout

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)

Nptel Social Networks Week 3 Assignment Answer

Week 3 : Assignment 3

Due date: 2025-02-12, 23:59 IST.
Assignment not submitted
1 point
Which of the following best explains the concept of “strength of weak ties” in social networks?
 
 
 
 
1 point
In a social network, a triad refers to:
 
 
 
 
1 point
Neighbourhood overlap in a graph is best described as:
 
 
 
 
1 point
In the context of social network analysis, a bridge is:
 
 
 
 
1 point
A local bridge is an edge that:
 
 
 
 
1 point
In the context of social networks, embeddedness refers to:
 
 
 
 
1 point
A structural hole in a network refers to:
 
 
 
 
1 point
Social capital in a network context refers to:
 
 
 
 
1 point
In the brute-force method for community detection, the number of possible ways to divide a graph with nn nodes into two distinct communities is:

1 point
The Girvan-Newman algorithm for community detection works by:
 
 
 
 

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