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Markus Stock
Ulf Theodor Schwadorf
Marco WolfangerAutumnblazeArisjelChristian Seibert (3)Joey SiedlTorsten Hirsch
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Connected Bands/Artists

  • Agrypnie
    Agrypnie band photo
  • Autumnblaze

Connected Musicians

  • Andreas Schuler
  • Arisjel
  • Christian Seibert (3)
  • Eklatanz
  • Heike Weber
  • Joey Siedl
  • Marco Wolfanger
  • Markus Baltes
  • Markus Stock
    Markus Stock band photo
  • Matthias (68)
  • René Schott
  • Taisha
  • Torsten Hirsch
  • Ulf Theodor Schwadorf
    Ulf Theodor Schwadorf band photo

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.53% of network
(3.07B)
Strength Breakdown
  • This Post (1.53%)
  • Matthias (68) (3.45%)
  • Eklatanz (1.53%)
  • Torsten Hirsch (1.53%)
  • René Schott (0.38%)
  • Arisjel (0.38%)
  • Markus Baltes (0.38%)
  • Andreas Schuler (0.38%)
  • Christian Seibert (3) (0.38%)
  • Heike Weber (0.38%)
  • Joey Siedl (0.38%)
  • Marco Wolfanger (0.38%)
  • Taisha (0.38%)
Dominant nodes (excluded from chart)
Autumnblaze 46.36%Markus Stock 18.77%Ulf Theodor Schwadorf 13.79%Agrypnie 9.58%
Influence Score
i
5.88% of network
(1)
Influence Breakdown
  • This Post (5.88%)
  • Agrypnie (5.88%)
  • Matthias (68) (5.88%)
  • Eklatanz (5.88%)
  • René Schott (5.88%)
  • Torsten Hirsch (5.88%)
  • Autumnblaze (5.88%)
  • Arisjel (5.88%)
  • Markus Baltes (5.88%)
  • Markus Stock (5.88%)
  • Andreas Schuler (5.88%)
  • Christian Seibert (3) (5.88%)
  • Heike Weber (5.88%)
  • Joey Siedl (5.88%)
  • Marco Wolfanger (5.88%)
  • Taisha (5.88%)
  • Ulf Theodor Schwadorf (5.88%)
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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 25 [Agrypnie] *
                            9 [Matthias (68)] *
                            4 [Eklatanz] *
                            1 [René Schott] *
                            4 [Torsten Hirsch] *
                            121 [Autumnblaze] *
                            1 [Arisjel] *
                            1 [Markus Baltes] *
                            49 [Markus Stock] *
                            1 [Andreas Schuler] *
                            1 [Christian Seibert (3)] *
                            1 [Heike Weber] *
                            1 [Joey Siedl] *
                            1 [Marco Wolfanger] *
                            1 [Taisha] *
                            36 [Ulf Theodor Schwadorf]
                           )

                         = 3.07B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Agrypnie] *
                            1 [Matthias (68)] *
                            1 [Eklatanz] *
                            1 [René Schott] *
                            1 [Torsten Hirsch] *
                            1 [Autumnblaze] *
                            1 [Arisjel] *
                            1 [Markus Baltes] *
                            1 [Markus Stock] *
                            1 [Andreas Schuler] *
                            1 [Christian Seibert (3)] *
                            1 [Heike Weber] *
                            1 [Joey Siedl] *
                            1 [Marco Wolfanger] *
                            1 [Taisha] *
                            1 [Ulf Theodor Schwadorf]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 16 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.53% (3.07B overall)
  • This Post (1.53%)
  • Matthias (68) (3.45%)
  • Eklatanz (1.53%)
  • Torsten Hirsch (1.53%)
  • René Schott (0.38%)
  • Arisjel (0.38%)
  • Markus Baltes (0.38%)
  • Andreas Schuler (0.38%)
  • Christian Seibert (3) (0.38%)
  • Heike Weber (0.38%)
  • Joey Siedl (0.38%)
  • Marco Wolfanger (0.38%)
  • Taisha (0.38%)
Dominant nodes (excluded from chart)
Autumnblaze 46.36%Markus Stock 18.77%Ulf Theodor Schwadorf 13.79%Agrypnie 9.58%
Influence Share (vs Direct Neighbours)
5.88% (1 overall)
  • This Post (5.88%)
  • Agrypnie (5.88%)
  • Matthias (68) (5.88%)
  • Eklatanz (5.88%)
  • René Schott (5.88%)
  • Torsten Hirsch (5.88%)
  • Autumnblaze (5.88%)
  • Arisjel (5.88%)
  • Markus Baltes (5.88%)
  • Markus Stock (5.88%)
  • Andreas Schuler (5.88%)
  • Christian Seibert (3) (5.88%)
  • Heike Weber (5.88%)
  • Joey Siedl (5.88%)
  • Marco Wolfanger (5.88%)
  • Taisha (5.88%)
  • Ulf Theodor Schwadorf (5.88%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Agrypnie ↗
Str: 25Inf: 1
Matthias (68) ↗
Str: 9Inf: 1
Eklatanz ↗
Str: 4Inf: 1
René Schott ↗
Str: 1Inf: 1
Torsten Hirsch ↗
Str: 4Inf: 1
Autumnblaze ↗
Str: 121Inf: 1
Arisjel ↗
Str: 1Inf: 1
Markus Baltes ↗
Str: 1Inf: 1
Markus Stock ↗
Str: 49Inf: 1
Andreas Schuler ↗
Str: 1Inf: 1
Christian Seibert (3) ↗
Str: 1Inf: 1
Heike Weber ↗
Str: 1Inf: 1
Joey Siedl ↗
Str: 1Inf: 1
Marco Wolfanger ↗
Str: 1Inf: 1
Taisha ↗
Str: 1Inf: 1
Ulf Theodor Schwadorf ↗
Str: 36Inf: 1
Weakest Connections (Lowest Multipliers)
Ulf Theodor Schwadorf ↗
Str: 36Inf: 1
Taisha ↗
Str: 1Inf: 1
Marco Wolfanger ↗
Str: 1Inf: 1
Joey Siedl ↗
Str: 1Inf: 1
Heike Weber ↗
Str: 1Inf: 1
Christian Seibert (3) ↗
Str: 1Inf: 1
Andreas Schuler ↗
Str: 1Inf: 1
Markus Stock ↗
Str: 49Inf: 1
Markus Baltes ↗
Str: 1Inf: 1
Arisjel ↗
Str: 1Inf: 1
Autumnblaze ↗
Str: 121Inf: 1
Torsten Hirsch ↗
Str: 4Inf: 1
René Schott ↗
Str: 1Inf: 1
Eklatanz ↗
Str: 4Inf: 1
Matthias (68) ↗
Str: 9Inf: 1
Agrypnie ↗
Str: 25Inf: 1

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

Outbound Tags (2)
Agrypnie
Autumnblaze
Inbound Posts (2)
Agrypnie
Autumnblaze
Last calculated: Jul 31, 8:24 AM
19

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