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Klaus Schandelmaier
KMFDM
Günter SchulzGuenter Schulz TrioVictoria Levy (2)Erica DilanjianSchulz

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Connected Bands/Artists

  • Guenter Schulz Trio
  • KMFDM
    KMFDM band photo
  • Schulz

Connected Musicians

  • Erica Dilanjian
  • Günter Schulz
  • Klaus Schandelmaier
  • Victoria Levy (2)

Analyzing Network Connections...

Network Profile

Overall Strength
i
4.40% of network
(331.8K)
Strength Breakdown
  • This Post (4.40%)
  • Klaus Schandelmaier (1.10%)
  • Guenter Schulz Trio (0.27%)
  • Schulz (0.27%)
  • Erica Dilanjian (0.27%)
  • Victoria Levy (2) (0.27%)
Dominant nodes (excluded from chart)
KMFDM 89.01%Günter Schulz 4.40%
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • KMFDM (12.50%)
  • Günter Schulz (12.50%)
  • Guenter Schulz Trio (12.50%)
  • Schulz (12.50%)
  • Klaus Schandelmaier (12.50%)
  • Erica Dilanjian (12.50%)
  • Victoria Levy (2) (12.50%)
Direct Connections 8

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, 4) = 4
$outbound = max(1, 4) = 4

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1

// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 16 *
                           ( 324 [KMFDM] *
                            16 [Günter Schulz] *
                            1 [Guenter Schulz Trio] *
                            1 [Schulz] *
                            4 [Klaus Schandelmaier] *
                            1 [Erica Dilanjian] *
                            1 [Victoria Levy (2)]
                           )

                         = 331.8K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [KMFDM] *
                            1 [Günter Schulz] *
                            1 [Guenter Schulz Trio] *
                            1 [Schulz] *
                            1 [Klaus Schandelmaier] *
                            1 [Erica Dilanjian] *
                            1 [Victoria Levy (2)]
                           )

                         = 1
Outbound 4 Tags on post
Inbound 4 Posts tagging this
Connections 7 Total nodes
Base Node Strength 16
Base Node Influence 1
Strength Share (vs Direct Neighbours)
4.40% (331.8K overall)
  • This Post (4.40%)
  • Klaus Schandelmaier (1.10%)
  • Guenter Schulz Trio (0.27%)
  • Schulz (0.27%)
  • Erica Dilanjian (0.27%)
  • Victoria Levy (2) (0.27%)
Dominant nodes (excluded from chart)
KMFDM 89.01%Günter Schulz 4.40%
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • KMFDM (12.50%)
  • Günter Schulz (12.50%)
  • Guenter Schulz Trio (12.50%)
  • Schulz (12.50%)
  • Klaus Schandelmaier (12.50%)
  • Erica Dilanjian (12.50%)
  • Victoria Levy (2) (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
KMFDM ↗
Str: 324Inf: 1
Günter Schulz ↗
Str: 16Inf: 1
Guenter Schulz Trio ↗
Str: 1Inf: 1
Schulz ↗
Str: 1Inf: 1
Klaus Schandelmaier ↗
Str: 4Inf: 1
Erica Dilanjian ↗
Str: 1Inf: 1
Victoria Levy (2) ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Victoria Levy (2) ↗
Str: 1Inf: 1
Erica Dilanjian ↗
Str: 1Inf: 1
Klaus Schandelmaier ↗
Str: 4Inf: 1
Schulz ↗
Str: 1Inf: 1
Guenter Schulz Trio ↗
Str: 1Inf: 1
Günter Schulz ↗
Str: 16Inf: 1
KMFDM ↗
Str: 324Inf: 1

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

Outbound Tags (4)
Erica Dilanjian
Günter Schulz
Klaus Schandelmaier
Victoria Levy (2)
Inbound Posts (4)
Günter Schulz
Klaus Schandelmaier
Erica Dilanjian
Victoria Levy (2)
Last calculated: Jun 21, 5:44 PM
44

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