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Accu§erVolker BorchertOliver FechnerEberhard WeyelFrank KimpelFrank ThomsMilan PeslGuido VenzlaffThomas Kircher (2)

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Connected Bands/Artists

  • Accu§er
    Accu§er band photo

Connected Musicians

  • Eberhard Weyel
  • Frank Kimpel
  • Frank Thoms
  • Guido Venzlaff
  • Milan Pesl
  • Oliver Fechner
  • Thomas Kircher (2)
  • Volker Borchert

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.08% of network
(324)
Strength Breakdown
  • This Post (1.08%)
  • Volker Borchert (4.30%)
  • Eberhard Weyel (1.08%)
  • Frank Kimpel (1.08%)
  • Frank Thoms (1.08%)
  • Guido Venzlaff (1.08%)
  • Milan Pesl (1.08%)
  • Oliver Fechner (1.08%)
  • Thomas Kircher (2) (1.08%)
Dominant nodes (excluded from chart)
Accu§er 87.10%
Influence Score
i
10.00% of network
(1)
Influence Breakdown
  • This Post (10.00%)
  • Accu§er (10.00%)
  • Eberhard Weyel (10.00%)
  • Frank Kimpel (10.00%)
  • Frank Thoms (10.00%)
  • Guido Venzlaff (10.00%)
  • Milan Pesl (10.00%)
  • Oliver Fechner (10.00%)
  • Thomas Kircher (2) (10.00%)
  • Volker Borchert (10.00%)
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 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 81 [Accu§er] *
                            1 [Eberhard Weyel] *
                            1 [Frank Kimpel] *
                            1 [Frank Thoms] *
                            1 [Guido Venzlaff] *
                            1 [Milan Pesl] *
                            1 [Oliver Fechner] *
                            1 [Thomas Kircher (2)] *
                            4 [Volker Borchert]
                           )
                         = 324

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Accu§er] *
                            1 [Eberhard Weyel] *
                            1 [Frank Kimpel] *
                            1 [Frank Thoms] *
                            1 [Guido Venzlaff] *
                            1 [Milan Pesl] *
                            1 [Oliver Fechner] *
                            1 [Thomas Kircher (2)] *
                            1 [Volker Borchert]
                           )
                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 9 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.08% (324 overall)
  • This Post (1.08%)
  • Volker Borchert (4.30%)
  • Eberhard Weyel (1.08%)
  • Frank Kimpel (1.08%)
  • Frank Thoms (1.08%)
  • Guido Venzlaff (1.08%)
  • Milan Pesl (1.08%)
  • Oliver Fechner (1.08%)
  • Thomas Kircher (2) (1.08%)
Dominant nodes (excluded from chart)
Accu§er 87.10%
Influence Share (vs Direct Neighbours)
10.00% (1 overall)
  • This Post (10.00%)
  • Accu§er (10.00%)
  • Eberhard Weyel (10.00%)
  • Frank Kimpel (10.00%)
  • Frank Thoms (10.00%)
  • Guido Venzlaff (10.00%)
  • Milan Pesl (10.00%)
  • Oliver Fechner (10.00%)
  • Thomas Kircher (2) (10.00%)
  • Volker Borchert (10.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Accu§er ↗
Str: 81Inf: 1
Eberhard Weyel ↗
Str: 1Inf: 1
Frank Kimpel ↗
Str: 1Inf: 1
Frank Thoms ↗
Str: 1Inf: 1
Guido Venzlaff ↗
Str: 1Inf: 1
Milan Pesl ↗
Str: 1Inf: 1
Oliver Fechner ↗
Str: 1Inf: 1
Thomas Kircher (2) ↗
Str: 1Inf: 1
Volker Borchert ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Volker Borchert ↗
Str: 4Inf: 1
Thomas Kircher (2) ↗
Str: 1Inf: 1
Oliver Fechner ↗
Str: 1Inf: 1
Milan Pesl ↗
Str: 1Inf: 1
Guido Venzlaff ↗
Str: 1Inf: 1
Frank Thoms ↗
Str: 1Inf: 1
Frank Kimpel ↗
Str: 1Inf: 1
Eberhard Weyel ↗
Str: 1Inf: 1
Accu§er ↗
Str: 81Inf: 1

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

Outbound Tags (1)
Accu§er
Inbound Posts (1)
Accu§er
Last calculated: Jun 8, 4:31 PM
18

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