# Social Networks | Week 1

**Session: JULY-DEC 2023**

**Course Name: Social Networks**

**Course Link: Click Here**

**These are Nptel Social Networks Week 1 Assignment 1 Answers**

**Q1. Which function will you use to find the number of edges drawn in the Graph?**

order( )

edges( )

edge_size( )

number_of_edges( )

**Answer: number_of_edges( )**

**Q2. What will be the maximum number of edges for a graph with 10 vertices?**

10

45

55

100

**Answer: 45**

**Q3. What does items() function for a dictionary return?**

Dictionary with all keys and values

List with tuples having keys and values

List containing all keys and values

Tuples containing all keys and values

**Answer: List with tuples having keys and values**

**These are Nptel Social Networks Week 1 Assignment 1 Answers**

**Q4. What will be the output of the given code?x=[i for i in range(10)]plt.plot(x,x**2,‘r=’)plt.show ( )**

Error displaying unsupported operand types for ** in plot

It plots the x with its exponential value with points and lines in the plot

It plots x with expontential value with points in the plot

It plots x with expontential value with red line in the plot

**Answer: Error displaying unsupported operand types for ** in plot**

**Q5. What does the value ‘ys-’ as the third parameter in plot function indicate?**

It helps to plot square with line connecting the points

It helps to plot yellow color square with dotted line connecting the points

It helps to plot yellow color square with line connecting the points

It helps to plot yellow color dotted line

**Answer: It helps to plot yellow color square with line connecting the points**

**Q6. Choose the correct statement to convert a list ‘List1’ to array in numpy.**

List1.numpy()

List1.numpy array()

List1=numpy.array(List1)

List1.numpy.array()

**Answer: List1=numpy.array(List1)**

**These are Nptel Social Networks Week 1 Assignment 1 Answers**

**Q7. Use networkx package, and write the statement to add the edges between two nodes (1,2) of a graph G=nx.Graph().**

G.add_edge()

G.add_edge(1,2)

G.addedge(1,2)

G.AddEdge(1,2)

**Answer: G.add_edge(1,2)**

**Q8. If you want to generate a random number from an inclusive range which function is to be used?**

randrange()

randint()

random.random()

rand_Int()

**Answer: randint()**

**Q9. If a=‘Social’, b=‘Networks’ then which of the following operation would show ’SocialNetworks’ as output?**

a+b

a+”+b

a+””+b

All of the above

**Answer: All of the above**

**These are Nptel Social Networks Week 1 Assignment 1 Answers**

**Q10. In the command networkx.erdos_renyi_graph(a,b), the parameters ‘a’ and ‘b’ denote the following respectively:**

Number of edges and the probability with which edges are to be placed between every pair of nodes

Number of nodes and the probability with which edges are to be placed between every pair of nodes

The probability with which edges are to be placed between every pair of nodes and Number of edges

Number of edges and Number of nodes

**Answer: Number of nodes and the probability with which edges are to be placed between every pair of nodes**

**These are Nptel Social Networks Week 1 Assignment 1 Answers**

More Weeks of Social Networks: Click here

More Nptel Courses: Click here

**Session: JAN-APR 2023**

**Course Name: Social Networks**

**Course Link: Click Here**

**These are Nptel Social Networks Week 1 Assignment 1 Answers**

#### Q1) What would be the output for the following code?

scores=[78,77,45]

scores.append(90)

scores.append(98)

scores.reverse()

print(scores)

a. [98, 90, 78, 77, 45]

b. [78, 77, 45, 90, 98]

c. [98, 90, 45, 77, 78]

d. [78, 77, 45, 98, 90]

**Answer: c. [98, 90, 45, 77, 78]**

**Q2) Given the following code, Which of the following is not a possible output?**

```
import random
def calc():
x=random.random()
y=random.random()
z=random.random()
return( x+y+z )
print(calc())
```

a. 1.6115945523495627

b. 0.202709723169674

c. 2.3142203461882844

d. 3.9133426822720435

**Answer: d. 3.9133426822720435**

**Q3) Which of the following statement creates the given dictionary, d:{1:1,2:4,3:9,4:16}**

a. d={x:x∗∗2 for x in range(1,5)}

b. d={x:x∗∗2 for x in range(5)}

c. d={x:x∗∗2 for x in range(0,5)}

d. d={x:x∗∗2 for x in range(1,6)}

**Answer: a. d={x:x∗∗2 for x in range(1,5)}**

**These are Nptel Social Networks Week 1 Assignment 1 Answers**

**Q4) Identify the graph output for the following segment:**

```
import networkx as nx
import matplotlib.pyplot as plt
G=nx.Graph()
G.add_nodes_from([1,2,3,4,5])
G.add_edges_from([(1,2),(2,3),(2,5),(1,6),(3,4)])
nx.draw(G,with_labels=True)
plt.show()
```

**Answer: a**

**These are Nptel Social Networks Week 1 Assignment 1 Answers**

**Q5) Given the following code, what is the number of edges in the graph created?G=nx.Graph()G.add_nodes_from([i for i in range(10)])**

```
def create_graph(n):
while(len(G.edges())< n):
u=random.choice(list(G.nodes()))
v=random.choice(list(G.nodes()))
if u!=v and G.has_edge(u,v)==0:
G.add_edge(u,v)
```

a. 9

b. 10

c. n

d. n−1

**Answer: c. n**

**Q6) Which of the statements is True for the graph created from the statement: nx.gnp_random_graph(10,0.5)?**

a. Graph has 10 nodes with half of the nodes connected

b. Graph has 10 nodes with each edge to be put with probability 0.5

c. Connected graph with 10 nodes

d. Graph has 5 nodes with half of the nodes connected

**Answer: b. Graph has 10 nodes with each edge to be put with probability 0.5**

**These are Nptel Social Networks Week 1 Assignment 1 Answers**

**Q7) What is the maximum number of graphs that can be created from 10 nodes?**

a. 2^{(10 2)}

b. 2^{(2 10)}

c. 2^{10}

d. 2^{10 2}

**Answer: a. 2 ^{(10 2)}**

**Q8) Given that we have n nodes in a network, what is the approximate number of steps to search a node?**

a. nlogn

b. logn

c. n^{n}

d. 2^{logn}

**Answer: b. logn**

**These are Nptel Social Networks Week 1 Assignment 1 Answers**

**Q9) Identify the layout for the graph given in the following figure.**

a. spectral

b. spring

c. circular

d. random

**Answer: c. circular**

**Q10) Friend suggestion on Facebook is one of the applications of**

a. Page ranking

b. Link prediction

c. Small work phenomenon

d. Cascading

**Answer: b. Link prediction**

**These are Nptel Social Networks Week 1 Assignment 1 Answers**

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