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HyperheadWilliam Tucker
Martin Atkins
Ian HoxleyOscar O’LaughlannKarl LeikerChin (2)

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Connected Bands/Artists

  • Hyperhead

Connected Musicians

  • Chin (2)
  • Ian Hoxley
  • Karl Leiker
  • Martin Atkins
    Martin Atkins band photo
  • Oscar O’Laughlann
  • William Tucker

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.25% of network
(254K)
Strength Breakdown
  • This Post (0.25%)
  • Chin (2) (0.25%)
  • Karl Leiker (0.25%)
  • Oscar O'Laughlann (0.25%)
  • William Tucker (0.25%)
Dominant nodes (excluded from chart)
Martin Atkins 82.23%Hyperhead 12.44%Ian Hoxley 4.06%
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Martin Atkins (12.50%)
  • Hyperhead (12.50%)
  • Ian Hoxley (12.50%)
  • Chin (2) (12.50%)
  • Karl Leiker (12.50%)
  • Oscar O'Laughlann (12.50%)
  • William Tucker (12.50%)
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 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 324 [Martin Atkins] *
                            49 [Hyperhead] *
                            16 [Ian Hoxley] *
                            1 [Chin (2)] *
                            1 [Karl Leiker] *
                            1 [Oscar O'Laughlann] *
                            1 [William Tucker]
                           )

                         = 254K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Martin Atkins] *
                            1 [Hyperhead] *
                            1 [Ian Hoxley] *
                            1 [Chin (2)] *
                            1 [Karl Leiker] *
                            1 [Oscar O'Laughlann] *
                            1 [William Tucker]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.25% (254K overall)
  • This Post (0.25%)
  • Chin (2) (0.25%)
  • Karl Leiker (0.25%)
  • Oscar O'Laughlann (0.25%)
  • William Tucker (0.25%)
Dominant nodes (excluded from chart)
Martin Atkins 82.23%Hyperhead 12.44%Ian Hoxley 4.06%
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Martin Atkins (12.50%)
  • Hyperhead (12.50%)
  • Ian Hoxley (12.50%)
  • Chin (2) (12.50%)
  • Karl Leiker (12.50%)
  • Oscar O'Laughlann (12.50%)
  • William Tucker (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Martin Atkins ↗
Str: 324Inf: 1
Hyperhead ↗
Str: 49Inf: 1
Ian Hoxley ↗
Str: 16Inf: 1
Chin (2) ↗
Str: 1Inf: 1
Karl Leiker ↗
Str: 1Inf: 1
Oscar O'Laughlann ↗
Str: 1Inf: 1
William Tucker ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
William Tucker ↗
Str: 1Inf: 1
Oscar O'Laughlann ↗
Str: 1Inf: 1
Karl Leiker ↗
Str: 1Inf: 1
Chin (2) ↗
Str: 1Inf: 1
Ian Hoxley ↗
Str: 16Inf: 1
Hyperhead ↗
Str: 49Inf: 1
Martin Atkins ↗
Str: 324Inf: 1

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

Outbound Tags (1)
Hyperhead
Inbound Posts (1)
Hyperhead
Last calculated: Jun 25, 5:48 PM
37

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