Graphs in social networks in Data Structures Theory - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the sentence to describe what a node represents in a social network graph.

Data Structures Theory

In a social network graph, a node typically represents a [1].

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Aconnection between users

Buser or person

Cmessage sent

Dgroup chat

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing nodes with connections or messages.

In social network graphs, nodes represent individual users or people.

2fill in blank

medium

Complete the sentence to explain what an edge represents in a social network graph.

Data Structures Theory

An edge in a social network graph represents a [1] between two nodes.

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Aconnection or relationship

Bgroup membership

Cpost or comment

Duser profile

Attempts:

3 left

💡 Hint

Common Mistakes

Thinking edges are users or content instead of connections.

Edges represent connections or relationships between users in the graph.

3fill in blank

hard

Fix the error in the statement about directed edges in social networks.

Data Structures Theory

A directed edge means the connection goes from [1] to another node, but not necessarily back.

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Aone node

Bboth nodes

Call nodes

Dno nodes

Attempts:

3 left

💡 Hint

Common Mistakes

Assuming directed edges mean mutual connections.

A directed edge shows a one-way connection from one node to another, like following someone.

4fill in blank

hard

Fill both blanks to complete the description of weighted edges in social networks.

Data Structures Theory

Weighted edges have a value [1] the edge to show the [2] of the connection.

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Aassigned to

Bignored in

Cstrength

Dcolor

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing weights with colors or ignoring them.

Weighted edges have a value assigned to show the strength or importance of the connection.

5fill in blank

hard

Fill all three blanks to complete the dictionary comprehension that creates a mapping of user names to their number of friends, filtering only users with more than 5 friends.

Data Structures Theory

user_friends = { [1]: [2] for [3] in users if users[[3]] > 5 }

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Auser

Busers[user]

Dfriend_count

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up keys and values or using wrong variable names.

This comprehension maps each user to their friend count, including only those with more than 5 friends.