Where should I start?
Choose a musician or record you already know. Its immediate network provides landmarks before you widen the exploration.
JazzMesh stories
Guides
Practical ways to begin an exploration in JazzMesh.
These guides begin with a simple question—a name, a record or a collaboration—and turn it into a listening path. They explain what to inspect in JazzMesh, in which order, and what the visible links can genuinely support.
What you can look for
What you can look for
Which link should I follow?
Start with a repeated collaboration, an artist appearing in several line-ups, or a credit connecting two periods.
When should I stop?
When the next link no longer clarifies your initial question. JazzMesh offers documented paths, not an endless similarity chain.
Stories
Step-by-step guides
How to explore Miles Davis collaborations
A four-movement guide to starting with a familiar name without remaining inside one discography.
Read the storyStories
All stories
Miles Davis in JazzMesh: a career revealed through its connections
From bebop to the electric groups, the graph reveals less a sequence of styles than an exceptional ability to bring together, separate and recirculate communities of musicians.
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From record to session: building a listening journey
Start with a record you love, read its credits and branch into another musical story.
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How to read bridge artists in a jazz network
Why some musicians connect distant-looking communities—and what the graph can genuinely support.
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Understanding discographic credits without over-reading them
Leader, collaborator, group and role: what metadata can support—and what it leaves unsaid.
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Following a line-up from record to record
Read continuity, arrivals and returns without confusing release chronology with studio chronology.
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Reading a label through the musicians in its catalogue
Compare catalogues without reducing their identity to a volume ranking.
Read the storyAnalysed editions and distinct records: why two totals?
Understand the difference between 659,484 observed editions and 334,465 grouped discographic objects.
Read the storyHow JazzMesh builds a traceable path
From data dump to visualisation: the decisions that make an exploration explainable and revisable.
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