Social Network Graph

This project implements a social networking platform using a graph data structure in Python. People are represented as nodes and friendships as bidirectional edges, allowing you to model real-world social connections where relationships are mutual and dynamic.

The system uses two custom classes to manage user relationships: a Person class to represent individual users and a SocialNetwork class to manage the collection of people and their connections.

Features

• Add new people to the network
• Create bidirectional friendships between users
• Handle errors when connecting non-existent users
• Print the entire network structure
• Prevent duplicate users

Classes

Person Class

Represents an individual user in the social network.

Constructor

• Person(name: str)

Attributes

• name (str): The person's name
• friends (list): List of Person objects this person is connected to

Methods

• add_friend(friend: Person) -> None: Adds another Person to the friends list

Example Usage

alex = Person("Alex")
jordan = Person("Jordan")
print(alex.friends) # []
alex.add_friend(jordan)
print(alex.friends[0].name)  # Jordan

SocialNetwork Class

Manages the entire social network and all user relationships.

Constructor

• SocialNetwork()

Attributes

• people (dict): Dictionary where keys are names and values are Person instances

Methods

• add_person(name: str) -> None: Creates a new Person and adds them to the network
• add_friendship(person1_name: str, person2_name: str) -> None: Establishes bidirectional friendship between two people
• print_network() -> None: Prints all people and their friends

Example Usage

network = SocialNetwork()

# Add people
network.add_person("Alex")
network.add_person("Jordan") 
network.add_person("Morgan")

# Create friendships
network.add_friendship("Alex", "Jordan")
network.add_friendship("Alex", "Morgan")
network.add_friendship("Jordan", "Taylor")  # Error: Taylor doesn't exist

network.print_network()
'''
Alex: Jordan, Morgan
Jordan: Alex
Morgan: Alex
'''