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Matthew TuckMichael “Moose” ThomasJeff Killed JohnJay JamesMichael Paget (3)Matt Tuck

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Connected Bands/Artists

  • Jeff Killed John
  • Matt Tuck

Connected Musicians

  • Jay James
  • Matthew Tuck
  • Michael “Moose” Thomas
  • Michael Paget (3)

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.49% of network
(186.6K)
Strength Breakdown
  • This Post (1.49%)
  • Jeff Killed John (53.73%)
  • Matthew Tuck (13.43%)
  • Matt Tuck (13.43%)
  • Jay James (5.97%)
  • Michael "Moose" Thomas (5.97%)
  • Michael Paget (3) (5.97%)
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Matthew Tuck (14.29%)
  • Jay James (14.29%)
  • Matt Tuck (14.29%)
  • Michael "Moose" Thomas (14.29%)
  • Michael Paget (3) (14.29%)
  • Jeff Killed John (14.29%)
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 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 9 [Matthew Tuck] *
                            4 [Jay James] *
                            9 [Matt Tuck] *
                            4 [Michael "Moose" Thomas] *
                            4 [Michael Paget (3)] *
                            36 [Jeff Killed John]
                           )

                         = 186.6K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Matthew Tuck] *
                            1 [Jay James] *
                            1 [Matt Tuck] *
                            1 [Michael "Moose" Thomas] *
                            1 [Michael Paget (3)] *
                            1 [Jeff Killed John]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 6 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.49% (186.6K overall)
  • This Post (1.49%)
  • Jeff Killed John (53.73%)
  • Matthew Tuck (13.43%)
  • Matt Tuck (13.43%)
  • Jay James (5.97%)
  • Michael "Moose" Thomas (5.97%)
  • Michael Paget (3) (5.97%)
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Matthew Tuck (14.29%)
  • Jay James (14.29%)
  • Matt Tuck (14.29%)
  • Michael "Moose" Thomas (14.29%)
  • Michael Paget (3) (14.29%)
  • Jeff Killed John (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Matthew Tuck ↗
Str: 9Inf: 1
Jay James ↗
Str: 4Inf: 1
Matt Tuck ↗
Str: 9Inf: 1
Michael "Moose" Thomas ↗
Str: 4Inf: 1
Michael Paget (3) ↗
Str: 4Inf: 1
Jeff Killed John ↗
Str: 36Inf: 1
Weakest Connections (Lowest Multipliers)
Jeff Killed John ↗
Str: 36Inf: 1
Michael Paget (3) ↗
Str: 4Inf: 1
Michael "Moose" Thomas ↗
Str: 4Inf: 1
Matt Tuck ↗
Str: 9Inf: 1
Jay James ↗
Str: 4Inf: 1
Matthew Tuck ↗
Str: 9Inf: 1

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

Outbound Tags (1)
Jeff Killed John
Inbound Posts (1)
Jeff Killed John
Last calculated: Sep 16, 3:33 AM
25

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