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Andi MorrisGavin BurroughPat Lundy (2)
Kris Coombs-Roberts
Funeral For A Friend
Matt Davies-KreyeMatthew Davies (2)
Richard Boucher
Ryan RichardsCasey McHale

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Connected Bands/Artists

  • Funeral For A Friend
    Funeral For A Friend band photo
  • Kris Coombs-Roberts
    Kris Coombs-Roberts band photo

Connected Musicians

  • Andi Morris
  • Casey McHale
  • Darran Smith
  • Gareth Davies (6)
  • Gavin Burrough
  • Matt Davies-Kreye
  • Matthew Davies (2)
  • Pat Lundy (2)
  • Richard Boucher
    Richard Boucher band photo
  • Ryan Richards

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.18% of network
(1.87T)
Strength Breakdown
  • This Post (1.18%)
  • Pat Lundy (2) (4.73%)
  • Gavin Burrough (2.66%)
  • Richard Boucher (2.66%)
  • Ryan Richards (2.66%)
  • Andi Morris (2.66%)
  • Casey McHale (1.18%)
  • Darran Smith (1.18%)
  • Gareth Davies (6) (1.18%)
  • Matthew Davies (2) (1.18%)
  • Matt Davies-Kreye (0.30%)
Dominant nodes (excluded from chart)
Funeral For A Friend 42.60%Kris Coombs-Roberts 35.80%
Influence Score
i
7.69% of network
(1)
Influence Breakdown
  • This Post (7.69%)
  • Funeral For A Friend (7.69%)
  • Gavin Burrough (7.69%)
  • Richard Boucher (7.69%)
  • Ryan Richards (7.69%)
  • Kris Coombs-Roberts (7.69%)
  • Matt Davies-Kreye (7.69%)
  • Pat Lundy (2) (7.69%)
  • Andi Morris (7.69%)
  • Casey McHale (7.69%)
  • Darran Smith (7.69%)
  • Gareth Davies (6) (7.69%)
  • Matthew Davies (2) (7.69%)
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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 144 [Funeral For A Friend] *
                            9 [Gavin Burrough] *
                            9 [Richard Boucher] *
                            9 [Ryan Richards] *
                            121 [Kris Coombs-Roberts] *
                            1 [Matt Davies-Kreye] *
                            16 [Pat Lundy (2)] *
                            9 [Andi Morris] *
                            4 [Casey McHale] *
                            4 [Darran Smith] *
                            4 [Gareth Davies (6)] *
                            4 [Matthew Davies (2)]
                           )

                         = 1.87T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Funeral For A Friend] *
                            1 [Gavin Burrough] *
                            1 [Richard Boucher] *
                            1 [Ryan Richards] *
                            1 [Kris Coombs-Roberts] *
                            1 [Matt Davies-Kreye] *
                            1 [Pat Lundy (2)] *
                            1 [Andi Morris] *
                            1 [Casey McHale] *
                            1 [Darran Smith] *
                            1 [Gareth Davies (6)] *
                            1 [Matthew Davies (2)]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 12 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.18% (1.87T overall)
  • This Post (1.18%)
  • Pat Lundy (2) (4.73%)
  • Gavin Burrough (2.66%)
  • Richard Boucher (2.66%)
  • Ryan Richards (2.66%)
  • Andi Morris (2.66%)
  • Casey McHale (1.18%)
  • Darran Smith (1.18%)
  • Gareth Davies (6) (1.18%)
  • Matthew Davies (2) (1.18%)
  • Matt Davies-Kreye (0.30%)
Dominant nodes (excluded from chart)
Funeral For A Friend 42.60%Kris Coombs-Roberts 35.80%
Influence Share (vs Direct Neighbours)
7.69% (1 overall)
  • This Post (7.69%)
  • Funeral For A Friend (7.69%)
  • Gavin Burrough (7.69%)
  • Richard Boucher (7.69%)
  • Ryan Richards (7.69%)
  • Kris Coombs-Roberts (7.69%)
  • Matt Davies-Kreye (7.69%)
  • Pat Lundy (2) (7.69%)
  • Andi Morris (7.69%)
  • Casey McHale (7.69%)
  • Darran Smith (7.69%)
  • Gareth Davies (6) (7.69%)
  • Matthew Davies (2) (7.69%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Funeral For A Friend ↗
Str: 144Inf: 1
Gavin Burrough ↗
Str: 9Inf: 1
Richard Boucher ↗
Str: 9Inf: 1
Ryan Richards ↗
Str: 9Inf: 1
Kris Coombs-Roberts ↗
Str: 121Inf: 1
Matt Davies-Kreye ↗
Str: 1Inf: 1
Pat Lundy (2) ↗
Str: 16Inf: 1
Andi Morris ↗
Str: 9Inf: 1
Casey McHale ↗
Str: 4Inf: 1
Darran Smith ↗
Str: 4Inf: 1
Gareth Davies (6) ↗
Str: 4Inf: 1
Matthew Davies (2) ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Matthew Davies (2) ↗
Str: 4Inf: 1
Gareth Davies (6) ↗
Str: 4Inf: 1
Darran Smith ↗
Str: 4Inf: 1
Casey McHale ↗
Str: 4Inf: 1
Andi Morris ↗
Str: 9Inf: 1
Pat Lundy (2) ↗
Str: 16Inf: 1
Matt Davies-Kreye ↗
Str: 1Inf: 1
Kris Coombs-Roberts ↗
Str: 121Inf: 1
Ryan Richards ↗
Str: 9Inf: 1
Richard Boucher ↗
Str: 9Inf: 1
Gavin Burrough ↗
Str: 9Inf: 1
Funeral For A Friend ↗
Str: 144Inf: 1

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

Outbound Tags (2)
Funeral For A Friend
Kris Coombs-Roberts
Inbound Posts (2)
Funeral For A Friend
Kris Coombs-Roberts
Last calculated: Jun 23, 10:01 PM
30

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