🥊🎷 The MusicBrainz Supergroup: Rounds, Records, and Weights in the Graph Arena

Welcome to the ultimate crossover: sports meet music data!
In this jam session, every entity is a fighter (or an artist), and every relationship is a punch, a riff, or a collab.
We’re building a weighted, attribute-rich graph from your DDL and Java models,
making sure every edge and vertex gets its moment in the spotlight.

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How the Band (and Boxing Card) Was Formed

• Vertices:
  • Each table/entity (Area, Artist, Genre, ArtistType, ArtistAliasType, BaseType, ArtistCredit, Release, etc).
  • Vertex weight: Number of attributes (fields) per entity (the more, the heavier the champ!).
• Edges:
  • Foreign key relationships (from DDL and Java).
  • Edge weight: Average of source and target vertex weights (connection strength = how loaded is the jam session?).

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🎼 Graphviz DOT: Supergroup Rounds, Weighted Edition

digraph MusicBrainzRoundsWeighted {
    // Style for readability and flair
    rankdir=LR;
    fontsize=14;
    node [shape=box, style=filled, fontname="Arial", fontcolor="#222", color="#444"];
    edge [fontname="Arial", fontsize=11];

    // --- MAIN ARTISTS & ROUNDS (with vertex weights = attribute count) ---
    Area           [label="Area\n(weight: 3)", fillcolor="#e0f7fa"];
    Artist         [label="Artist\n(weight: 3)", fillcolor="#e0f7fa"];
    Genre          [label="Genre\n(weight: 3)", fillcolor="#e0f7fa"];
    ArtistType     [label="ArtistType\n(weight: 6)", fillcolor="#b2ebf2"];
    ArtistAliasType[label="ArtistAliasType\n(weight: 6)", fillcolor="#b2ebf2"];
    BaseType       [label="BaseType\n(weight: 6)", fillcolor="#b2ebf2"];
    ArtistCredit   [label="ArtistCredit 👑\n(weight: 2)", shape=diamond, fillcolor="#fff9c4"];
    Release        [label="Release\n(weight: 3)", fillcolor="#f1f8e9"];
    Recording      [label="Recording\n(weight: 3)", fillcolor="#f1f8e9"];
    Track          [label="Track\n(weight: 3)", fillcolor="#f1f8e9"];
    ReleaseGroup   [label="ReleaseGroup\n(weight: 3)", fillcolor="#f1f8e9"];

    // --- JAM SESSION EDGES (with edge weights = avg(attr count)) ---
    // Area relationships
    Area -> BaseType [label="w=4.5", penwidth=2.5, color="#0288d1"];
    // Artist relationships
    Artist -> Area   [label="w=3", penwidth=1.5, color="#009688"];
    Artist -> BaseType [label="w=4.5", penwidth=2.5, color="#0288d1"];
    // ArtistType and AliasType structure
    ArtistType -> BaseType [label="w=6", penwidth=3, color="#c2185b"];
    ArtistAliasType -> BaseType [label="w=6", penwidth=3, color="#c2185b"];
    // Hyperedge: ArtistCredit as the "round starter"/supergroup jam
    Artist -> ArtistCredit [label="w=2.5", penwidth=1.3, color="#ff9800"];
    ArtistCredit -> Release [label="w=2.5", penwidth=1.3, color="#ff9800"];
    ArtistCredit -> Recording [label="w=2.5", penwidth=1.3, color="#ff9800"];
    ArtistCredit -> ReleaseGroup [label="w=2.5", penwidth=1.3, color="#ff9800"];
    // Genre links
    Genre -> BaseType [label="w=4.5", penwidth=2.5, color="#0288d1"];
    // Release/Recording/Track/Group connections (the band tour)
    Release -> ReleaseGroup [label="w=3", penwidth=1.5, color="#558b2f"];
    Release -> Recording    [label="w=3", penwidth=1.5, color="#558b2f"];
    Recording -> Track      [label="w=3", penwidth=1.5, color="#558b2f"];
    Track -> Recording      [label="w=3", penwidth=1.5, color="#558b2f"];

    // --- LEGEND ---
    legend [shape=note, label="Vertex weight = #attributes\nEdge weight = avg(vertex weights)\nDiamond = jam session (ArtistCredit)", fontsize=10, fillcolor="#fffde7"];
}

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🏅 The Sports & Music Analogy

• Every vertex is a competitor or band member.
• Heftier (more attributes) = more stamina, skill, or star power.
• Edges are bouts, collaborations, or jam sessions:
  The thicker the line, the more loaded the matchup or collab!
• The diamond (ArtistCredit) is your Roy Jones Jr./Beyoncé:
  Always in the center, always ready for a fresh round or encore.

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🎷 TL;DR

This graph is your "fight card"/"festival lineup"—it tells you

• Who’s the champ (most connections, central role),
• Where the heavyweights are (big attribute count),
• How strong each relationship is (edge weight = avg. attributes).

Paste the DOT code into Graphviz Online for a true visual jam!
Want even more analytics, or to process priorities for loading/import? The band is always ready for another round!