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Hypocrisy
Peter Tägtgren
André Skaug
Conquest (18)
Clawfinger
Bloodbath
Roadhouse DietWar (4)Lock Up (2)Lindemann

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Pain (3)

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Connected Bands/Artists

  • Bloodbath
    Bloodbath band photo
  • Clawfinger
    Clawfinger band photo
  • Conquest (18)
  • Hypocrisy
  • Lindemann
  • Lock Up (2)
  • Pain (Nordic Territories and Europe)
  • Roadhouse Diet
  • The Abyss (2)
  • War (4)

Connected Musicians

  • André Skaug
    André Skaug band photo
  • Peter Tägtgren
    Peter Tägtgren band photo

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.60% of network
(339.74T)
Strength Breakdown
  • This Post (0.60%)
  • Hypocrisy (15.08%)
  • Peter Tägtgren (15.08%)
  • Clawfinger (9.65%)
  • War (4) (3.77%)
  • Pain (Nordic Territories and Europe) (2.41%)
  • Lock Up (2) (2.41%)
  • Roadhouse Diet (0.60%)
  • The Abyss (2) (0.60%)
  • André Skaug (0.60%)
  • Lindemann (0.15%)
  • Conquest (18) (0.15%)
Dominant nodes (excluded from chart)
Bloodbath 48.87%
Influence Score
i
7.69% of network
(1)
Influence Breakdown
  • This Post (7.69%)
  • Bloodbath (7.69%)
  • Pain (Nordic Territories and Europe) (7.69%)
  • Hypocrisy (7.69%)
  • Lindemann (7.69%)
  • Peter Tägtgren (7.69%)
  • Lock Up (2) (7.69%)
  • Conquest (18) (7.69%)
  • Roadhouse Diet (7.69%)
  • The Abyss (2) (7.69%)
  • War (4) (7.69%)
  • Clawfinger (7.69%)
  • André Skaug (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 *
                           ( 324 [Bloodbath] *
                            16 [Pain (Nordic Territories and Europe)] *
                            100 [Hypocrisy] *
                            1 [Lindemann] *
                            100 [Peter Tägtgren] *
                            16 [Lock Up (2)] *
                            1 [Conquest (18)] *
                            4 [Roadhouse Diet] *
                            4 [The Abyss (2)] *
                            25 [War (4)] *
                            64 [Clawfinger] *
                            4 [André Skaug]
                           )

                         = 339.74T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Bloodbath] *
                            1 [Pain (Nordic Territories and Europe)] *
                            1 [Hypocrisy] *
                            1 [Lindemann] *
                            1 [Peter Tägtgren] *
                            1 [Lock Up (2)] *
                            1 [Conquest (18)] *
                            1 [Roadhouse Diet] *
                            1 [The Abyss (2)] *
                            1 [War (4)] *
                            1 [Clawfinger] *
                            1 [André Skaug]
                           )

                         = 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)
0.60% (339.74T overall)
  • This Post (0.60%)
  • Hypocrisy (15.08%)
  • Peter Tägtgren (15.08%)
  • Clawfinger (9.65%)
  • War (4) (3.77%)
  • Pain (Nordic Territories and Europe) (2.41%)
  • Lock Up (2) (2.41%)
  • Roadhouse Diet (0.60%)
  • The Abyss (2) (0.60%)
  • André Skaug (0.60%)
  • Lindemann (0.15%)
  • Conquest (18) (0.15%)
Dominant nodes (excluded from chart)
Bloodbath 48.87%
Influence Share (vs Direct Neighbours)
7.69% (1 overall)
  • This Post (7.69%)
  • Bloodbath (7.69%)
  • Pain (Nordic Territories and Europe) (7.69%)
  • Hypocrisy (7.69%)
  • Lindemann (7.69%)
  • Peter Tägtgren (7.69%)
  • Lock Up (2) (7.69%)
  • Conquest (18) (7.69%)
  • Roadhouse Diet (7.69%)
  • The Abyss (2) (7.69%)
  • War (4) (7.69%)
  • Clawfinger (7.69%)
  • André Skaug (7.69%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Bloodbath ↗
Str: 324Inf: 1
Pain (Nordic Territories and Europe) ↗
Str: 16Inf: 1
Hypocrisy ↗
Str: 100Inf: 1
Lindemann ↗
Str: 1Inf: 1
Peter Tägtgren ↗
Str: 100Inf: 1
Lock Up (2) ↗
Str: 16Inf: 1
Conquest (18) ↗
Str: 1Inf: 1
Roadhouse Diet ↗
Str: 4Inf: 1
The Abyss (2) ↗
Str: 4Inf: 1
War (4) ↗
Str: 25Inf: 1
Clawfinger ↗
Str: 64Inf: 1
André Skaug ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
André Skaug ↗
Str: 4Inf: 1
Clawfinger ↗
Str: 64Inf: 1
War (4) ↗
Str: 25Inf: 1
The Abyss (2) ↗
Str: 4Inf: 1
Roadhouse Diet ↗
Str: 4Inf: 1
Conquest (18) ↗
Str: 1Inf: 1
Lock Up (2) ↗
Str: 16Inf: 1
Peter Tägtgren ↗
Str: 100Inf: 1
Lindemann ↗
Str: 1Inf: 1
Hypocrisy ↗
Str: 100Inf: 1
Pain (Nordic Territories and Europe) ↗
Str: 16Inf: 1
Bloodbath ↗
Str: 324Inf: 1

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

Outbound Tags (2)
André Skaug
Peter Tägtgren
Inbound Posts (2)
André Skaug
Peter Tägtgren
Last calculated: Jun 20, 2:08 AM
34

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