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Magnus MartinssonErik Tormentor SahlströmJohn LongstrethJason KeyserCratorJonas Tormentor SahlströmHenrik Ohlsson
Colin Marston
Theory In PracticeJohan Ekman (2)

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Connected Bands/Artists

  • Crator
  • Theory In Practice

Connected Musicians

  • Colin Marston
    Colin Marston band photo
  • David Lundqvist
  • Erik Tormentor Sahlström
  • Henrik Ohlsson
  • Jason Keyser
  • Johan Ekman (2)
  • John Longstreth
  • Jonas Tormentor Sahlström
  • Magnus Martinsson
  • Patrik Sjöberg (2)
  • Peter Lake
  • Peter Sjöberg

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.53% of network
(2.35T)
Strength Breakdown
  • This Post (0.53%)
  • Theory In Practice (4.80%)
  • Jason Keyser (3.33%)
  • Henrik Ohlsson (2.13%)
  • Magnus Martinsson (1.20%)
  • David Lundqvist (0.13%)
  • Erik Tormentor Sahlström (0.13%)
  • Jonas Tormentor Sahlström (0.13%)
  • Peter Lake (0.13%)
  • Johan Ekman (2) (0.13%)
  • Patrik Sjöberg (2) (0.13%)
  • Peter Sjöberg (0.13%)
Dominant nodes (excluded from chart)
Colin Marston 56.00%John Longstreth 22.53%Crator 8.53%
Influence Score
i
6.69% of network
(0.9524)
Influence Breakdown
  • This Post (6.69%)
  • John Longstreth (6.69%)
  • Jason Keyser (6.69%)
  • David Lundqvist (6.69%)
  • Erik Tormentor Sahlström (6.69%)
  • Jonas Tormentor Sahlström (6.69%)
  • Magnus Martinsson (6.69%)
  • Crator (6.69%)
  • Theory In Practice (6.69%)
  • Henrik Ohlsson (6.69%)
  • Peter Lake (6.69%)
  • Johan Ekman (2) (6.69%)
  • Patrik Sjöberg (2) (6.69%)
  • Peter Sjöberg (6.69%)
  • Colin Marston (6.37%)
Direct Connections 4

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, 2) = 2
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 169 [John Longstreth] *
                            25 [Jason Keyser] *
                            1 [David Lundqvist] *
                            1 [Erik Tormentor Sahlström] *
                            1 [Jonas Tormentor Sahlström] *
                            9 [Magnus Martinsson] *
                            64 [Crator] *
                            36 [Theory In Practice] *
                            16 [Henrik Ohlsson] *
                            1 [Peter Lake] *
                            1 [Johan Ekman (2)] *
                            1 [Patrik Sjöberg (2)] *
                            1 [Peter Sjöberg] *
                            420 [Colin Marston]
                           )

                         = 2.35T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [John Longstreth] *
                            1 [Jason Keyser] *
                            1 [David Lundqvist] *
                            1 [Erik Tormentor Sahlström] *
                            1 [Jonas Tormentor Sahlström] *
                            1 [Magnus Martinsson] *
                            1 [Crator] *
                            1 [Theory In Practice] *
                            1 [Henrik Ohlsson] *
                            1 [Peter Lake] *
                            1 [Johan Ekman (2)] *
                            1 [Patrik Sjöberg (2)] *
                            1 [Peter Sjöberg] *
                            0.9524 [Colin Marston]
                           )

                         = 0.9524
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 14 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.53% (2.35T overall)
  • This Post (0.53%)
  • Theory In Practice (4.80%)
  • Jason Keyser (3.33%)
  • Henrik Ohlsson (2.13%)
  • Magnus Martinsson (1.20%)
  • David Lundqvist (0.13%)
  • Erik Tormentor Sahlström (0.13%)
  • Jonas Tormentor Sahlström (0.13%)
  • Peter Lake (0.13%)
  • Johan Ekman (2) (0.13%)
  • Patrik Sjöberg (2) (0.13%)
  • Peter Sjöberg (0.13%)
Dominant nodes (excluded from chart)
Colin Marston 56.00%John Longstreth 22.53%Crator 8.53%
Influence Share (vs Direct Neighbours)
6.69% (0.9524 overall)
  • This Post (6.69%)
  • John Longstreth (6.69%)
  • Jason Keyser (6.69%)
  • David Lundqvist (6.69%)
  • Erik Tormentor Sahlström (6.69%)
  • Jonas Tormentor Sahlström (6.69%)
  • Magnus Martinsson (6.69%)
  • Crator (6.69%)
  • Theory In Practice (6.69%)
  • Henrik Ohlsson (6.69%)
  • Peter Lake (6.69%)
  • Johan Ekman (2) (6.69%)
  • Patrik Sjöberg (2) (6.69%)
  • Peter Sjöberg (6.69%)
  • Colin Marston (6.37%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
John Longstreth ↗
Str: 169Inf: 1
Jason Keyser ↗
Str: 25Inf: 1
David Lundqvist ↗
Str: 1Inf: 1
Erik Tormentor Sahlström ↗
Str: 1Inf: 1
Jonas Tormentor Sahlström ↗
Str: 1Inf: 1
Magnus Martinsson ↗
Str: 9Inf: 1
Crator ↗
Str: 64Inf: 1
Theory In Practice ↗
Str: 36Inf: 1
Henrik Ohlsson ↗
Str: 16Inf: 1
Peter Lake ↗
Str: 1Inf: 1
Johan Ekman (2) ↗
Str: 1Inf: 1
Patrik Sjöberg (2) ↗
Str: 1Inf: 1
Peter Sjöberg ↗
Str: 1Inf: 1
Colin Marston ↗
Str: 420Inf: 0.9524
Weakest Connections (Lowest Multipliers)
Colin Marston ↗
Str: 420Inf: 0.9524
Peter Sjöberg ↗
Str: 1Inf: 1
Patrik Sjöberg (2) ↗
Str: 1Inf: 1
Johan Ekman (2) ↗
Str: 1Inf: 1
Peter Lake ↗
Str: 1Inf: 1
Henrik Ohlsson ↗
Str: 16Inf: 1
Theory In Practice ↗
Str: 36Inf: 1
Crator ↗
Str: 64Inf: 1
Magnus Martinsson ↗
Str: 9Inf: 1
Jonas Tormentor Sahlström ↗
Str: 1Inf: 1
Erik Tormentor Sahlström ↗
Str: 1Inf: 1
David Lundqvist ↗
Str: 1Inf: 1
Jason Keyser ↗
Str: 25Inf: 1
John Longstreth ↗
Str: 169Inf: 1

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

Outbound Tags (2)
Crator
Theory In Practice
Inbound Posts (2)
Theory In Practice
Crator
Last calculated: Jul 1, 6:21 AM
42

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