This set of MCQ(multiple choice questions) focuses on the **Social Networks NPTEL Week 2 Assignment Solutions**.

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**Week 0: ****Assignment answers**

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)

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**Social Networks** NPTEL 2022 Week 2 Assignment Solutions

**Q1.** For any vertex v in an undirected (without loop, multiple edges) , the clustering coefficient of v ranges from:

a) -1 to +1

b) 0 to 1

c) −∞ to +∞

d) 0 to +∞

**Answer:** b) 0 to 1

**Q2.** Which of the following is not a network data set format?

a) Comma Separated Values

b) GEphi XML Format

c) Pajek NET

d) GraphML

**Answer:** b) GEphi XML Format

**Q3.** Diameter of the complete graph on n vertices is

a) n-1

b) n-2

c) 0

d) 1

**Answer:** d) 1

**Q4.** Assuming Synonymy network of English language is undirected, we can traverse from the word ’FRIEND’ to ’ENEMY’ necessarily because:

a) the underlying network is connected.

b) there must be an edge between them.

c) the words have same number of letters.

d) the Synonymy network is complete.

**Answer:** a) the underlying network is connected.

**Q5.** Let the given four real-world networks be

A. Friendship network B. Road network C. E-mail network D. Citation network

Choose the correct option.

a) Only (A) is undirected

b) Only (C) and (D) are directed.

c) Only (C) is directed.

d) All of them are undirected.

**Answer:** b) Only (C) and (D) are directed.

**Q6.** For reading a network file where the data is in the following form, which function should be used?

node1 node2

node2 node3

node2 node5……..

where node1, node2, node3, node5 etc are ids of the nodes and node1 node2 indicates that there is an undirected edge between node1 and node2 and so on

a) nx.read_nodelist()

b) nx.read_edgelist()

c) nx.read_adjmat()

d) Both nx.read_edgelist() and nx.read_adjmat() can be used

**Answer:** b) nx.read_edgelist()

**Q7.** State yes or no. Degree distribution of most real-world networks follows power law, which means there are very few nodes with very less degrees and there are a lot of nodes with very high degrees.

a) Yes

b) No

**Answer:** b) No

**Q8.** What is the density of the graph H?

a) 1/2

b) 1/3

c) 1

d) 0

**Answer:** b) 1/3

**Q9.** Given that the clustering coefficient of a vertex v is 0.3, and the number of edges between the neighbors of v is 3. What is the degree of the vertex v? (Graph considered is undirected, without loops and multiple edges)

a) 3

b) 4

c) 5

d) Insufficient information

**Answer:** c) 5

**Q10.** If G is a connected graph with n vertices, what is the minimum number of edges the graph G should have?

a) n

b) n-1

c) n+1

d) n/2

**Answer:** b) n-1

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