Who forms a group’s core?
Musicians appearing on several successive records create observable continuity, even when the line-up name changes.
JazzMesh stories
Sessions and standards
Follow continuity, line-up changes and the movement of repertoire.
This section follows jazz through time: who stays in a line-up, who arrives or returns, and how a standard moves between recordings. It makes continuity legible without erasing change.
Three ways to follow time
Three ways to follow time
What does an arrival tell us?
A new credit can open another collaboration circle, but it must be read alongside its date and documented role.
How can a standard be followed?
By separating the musical work from its recordings, then comparing performers, dates and documented contexts.
Stories
Stories of line-ups, sessions and standards
Following a line-up from record to record
Read continuity, arrivals and returns without confusing release chronology with studio chronology.
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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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How to explore Miles Davis collaborations
A four-movement guide to starting with a familiar name without remaining inside one discography.
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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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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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