Example5.SocialNetwork

Example 5: Social Network

This example demonstrates a complete social network implementation using the GraphModel library, showcasing real-world relationship patterns and graph analytics.

What You'll Learn

• Building a social network graph structure
• Managing complex relationships (follows, likes, comments)
• Social network analytics and metrics
• Feed generation based on social graph
• Friend recommendation using graph patterns

Features Demonstrated

1. User Management

[Node(Label = "User")]
public record User : Node
{
    public string Username { get; set; } = string.Empty;
    public string Email { get; set; } = string.Empty;
    public DateTime JoinedDate { get; set; }
    public string? Bio { get; set; } = string.Empty;
}

2. Content Creation

Posts with tags, timestamps, and author relationships:

[Node(Label = "Post")]
public record Post : Node
{
    public DateTime PostedAt { get; set; }
    public string Content { get; set; } = string.Empty;
    public List<string> Tags { get; set; } = new();
}

3. Social Interactions

Multiple relationship types for different interactions:

• FOLLOWS: User following relationships with timestamps
• POSTED: User to post authorship
• LIKES: User likes on posts with timestamps
• COMMENTED_ON: Comments on posts
• WROTE: User authorship of comments

4. Analytics Queries

Current implementation demonstrates:

• Follower count analysis
• Post popularity metrics
• Mutual connection discovery
• Engagement tracking

5. Feed Generation

Personalized feed based on who the user follows:

// Get posts from people Alice follows
var aliceFollowing = await graph.Nodes<User>()
    .Where(u => u.Username == "alice_wonder")
    .PathSegments<User, Follows, User>()
    .ToListAsync();

var feedPosts = await graph.Nodes<User>()
    .Where(u => followedUserIds.Contains(u.Id))
    .PathSegments<User, Posted, Post>()
    .ToListAsync();

6. Friend Recommendations

Suggest new connections based on:

• Friends of friends patterns
• Mutual connection count
• Graph traversal algorithms

Social Network Patterns

The example demonstrates common social network patterns:

• Bidirectional relationships (mutual following)
• Content engagement tracking
• Social graph traversal and analytics
• Basic recommendation algorithms

Running the Example

Note: This example requires .NET 10.0 which is not yet released.

cd examples/Example5.SocialNetwork
dotnet run

Make sure Neo4j is running and accessible at bolt://localhost:7687 with username neo4j and password password.