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Thomas ChapinAnthony Braxton / Mario Pavone QuintetUnder Cover Collection BandShekhina Big BandRutgers University Livingston College Jazz EnsembleDavid Lahm QuartetNed Rothenberg Double BandThomas Chapin TrioAvantangoMachine Gun (3)

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Connected Bands/Artists

  • Anthony Braxton / Mario Pavone Quintet
  • Avantango
  • David Lahm Quartet
  • Machine Gun (3)
  • Misako Kano Quartet
  • Ned Rothenberg Double Band
  • Rutgers University Livingston College Jazz Ensemble
  • Shekhina Big Band
  • Thomas Chapin Trio
  • Under Cover Collection Band

Connected Musicians

  • Thomas Chapin

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.63% of network
(69.7K)
Strength Breakdown
  • This Post (0.63%)
  • Ned Rothenberg Double Band (5.70%)
  • Shekhina Big Band (2.53%)
  • Avantango (0.63%)
  • David Lahm Quartet (0.63%)
  • Machine Gun (3) (0.63%)
  • Misako Kano Quartet (0.63%)
  • Rutgers University Livingston College Jazz Ensemble (0.63%)
  • Thomas Chapin Trio (0.63%)
  • Under Cover Collection Band (0.63%)
Dominant nodes (excluded from chart)
Thomas Chapin 76.58%Anthony Braxton / Mario Pavone Quintet 10.13%
Influence Score
i
8.33% of network
(1)
Influence Breakdown
  • This Post (8.33%)
  • Thomas Chapin (8.33%)
  • Anthony Braxton / Mario Pavone Quintet (8.33%)
  • Avantango (8.33%)
  • David Lahm Quartet (8.33%)
  • Machine Gun (3) (8.33%)
  • Misako Kano Quartet (8.33%)
  • Ned Rothenberg Double Band (8.33%)
  • Rutgers University Livingston College Jazz Ensemble (8.33%)
  • Shekhina Big Band (8.33%)
  • Thomas Chapin Trio (8.33%)
  • Under Cover Collection Band (8.33%)
Direct Connections 2

Node & Network Details

How is this calculated?

The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.

// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 1) = 1
$outbound = max(1, 1) = 1

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1

// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 121 [Thomas Chapin] *
                            16 [Anthony Braxton / Mario Pavone Quintet] *
                            1 [Avantango] *
                            1 [David Lahm Quartet] *
                            1 [Machine Gun (3)] *
                            1 [Misako Kano Quartet] *
                            9 [Ned Rothenberg Double Band] *
                            1 [Rutgers University Livingston College Jazz Ensemble] *
                            4 [Shekhina Big Band] *
                            1 [Thomas Chapin Trio] *
                            1 [Under Cover Collection Band]
                           )

                         = 69.7K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Thomas Chapin] *
                            1 [Anthony Braxton / Mario Pavone Quintet] *
                            1 [Avantango] *
                            1 [David Lahm Quartet] *
                            1 [Machine Gun (3)] *
                            1 [Misako Kano Quartet] *
                            1 [Ned Rothenberg Double Band] *
                            1 [Rutgers University Livingston College Jazz Ensemble] *
                            1 [Shekhina Big Band] *
                            1 [Thomas Chapin Trio] *
                            1 [Under Cover Collection Band]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 11 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.63% (69.7K overall)
  • This Post (0.63%)
  • Ned Rothenberg Double Band (5.70%)
  • Shekhina Big Band (2.53%)
  • Avantango (0.63%)
  • David Lahm Quartet (0.63%)
  • Machine Gun (3) (0.63%)
  • Misako Kano Quartet (0.63%)
  • Rutgers University Livingston College Jazz Ensemble (0.63%)
  • Thomas Chapin Trio (0.63%)
  • Under Cover Collection Band (0.63%)
Dominant nodes (excluded from chart)
Thomas Chapin 76.58%Anthony Braxton / Mario Pavone Quintet 10.13%
Influence Share (vs Direct Neighbours)
8.33% (1 overall)
  • This Post (8.33%)
  • Thomas Chapin (8.33%)
  • Anthony Braxton / Mario Pavone Quintet (8.33%)
  • Avantango (8.33%)
  • David Lahm Quartet (8.33%)
  • Machine Gun (3) (8.33%)
  • Misako Kano Quartet (8.33%)
  • Ned Rothenberg Double Band (8.33%)
  • Rutgers University Livingston College Jazz Ensemble (8.33%)
  • Shekhina Big Band (8.33%)
  • Thomas Chapin Trio (8.33%)
  • Under Cover Collection Band (8.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Thomas Chapin ↗
Str: 121Inf: 1
Anthony Braxton / Mario Pavone Quintet ↗
Str: 16Inf: 1
Avantango ↗
Str: 1Inf: 1
David Lahm Quartet ↗
Str: 1Inf: 1
Machine Gun (3) ↗
Str: 1Inf: 1
Misako Kano Quartet ↗
Str: 1Inf: 1
Ned Rothenberg Double Band ↗
Str: 9Inf: 1
Rutgers University Livingston College Jazz Ensemble ↗
Str: 1Inf: 1
Shekhina Big Band ↗
Str: 4Inf: 1
Thomas Chapin Trio ↗
Str: 1Inf: 1
Under Cover Collection Band ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Under Cover Collection Band ↗
Str: 1Inf: 1
Thomas Chapin Trio ↗
Str: 1Inf: 1
Shekhina Big Band ↗
Str: 4Inf: 1
Rutgers University Livingston College Jazz Ensemble ↗
Str: 1Inf: 1
Ned Rothenberg Double Band ↗
Str: 9Inf: 1
Misako Kano Quartet ↗
Str: 1Inf: 1
Machine Gun (3) ↗
Str: 1Inf: 1
David Lahm Quartet ↗
Str: 1Inf: 1
Avantango ↗
Str: 1Inf: 1
Anthony Braxton / Mario Pavone Quintet ↗
Str: 16Inf: 1
Thomas Chapin ↗
Str: 121Inf: 1

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (1)
Thomas Chapin
Inbound Posts (1)
Thomas Chapin
Last calculated: Jun 8, 8:54 AM
30

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