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Boney M.
ABBADschinghis KhanSchlagerGitte HænningAnke EngelkeBoney MHerbert GrönemeyerUdo JürgensHoward Carpendale

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Connected Bands/Artists

  • ABBA
    ABBA band photo
  • Dschinghis Khan
  • Schlager
  • Udo Jürgens

Connected Musicians

  • Anke Engelke
  • Boney M
  • Boney M.
    Boney M. band photo
  • Gitte Hænning
  • Herbert Grönemeyer
  • Howard Carpendale

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.30% of network
(2.04T)
Strength Breakdown
  • This Post (0.30%)
  • Schlager (27.27%)
  • Dschinghis Khan (19.39%)
  • Gitte Hænning (14.85%)
  • Herbert Grönemeyer (14.85%)
  • ABBA (10.91%)
  • Boney M. (4.85%)
  • Anke Engelke (4.85%)
  • Boney M (1.21%)
  • Howard Carpendale (1.21%)
  • Udo Jürgens (0.30%)
Influence Score
i
7.19% of network
(3.6)
Influence Breakdown
  • This Post (7.19%)
  • Boney M (28.78%)
  • ABBA (7.19%)
  • Boney M. (7.19%)
  • Anke Engelke (7.19%)
  • Dschinghis Khan (7.19%)
  • Gitte Hænning (7.19%)
  • Herbert Grönemeyer (7.19%)
  • Howard Carpendale (7.19%)
  • Udo Jürgens (7.19%)
  • Schlager (6.47%)
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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 4 [Boney M] *
                            36 [ABBA] *
                            16 [Boney M.] *
                            16 [Anke Engelke] *
                            64 [Dschinghis Khan] *
                            49 [Gitte Hænning] *
                            49 [Herbert Grönemeyer] *
                            4 [Howard Carpendale] *
                            1 [Udo Jürgens] *
                            90 [Schlager]
                           )
                         = 2.04T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 4 [Boney M] *
                            1 [ABBA] *
                            1 [Boney M.] *
                            1 [Anke Engelke] *
                            1 [Dschinghis Khan] *
                            1 [Gitte Hænning] *
                            1 [Herbert Grönemeyer] *
                            1 [Howard Carpendale] *
                            1 [Udo Jürgens] *
                            0.9 [Schlager]
                           )
                         = 3.6
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 10 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.30% (2.04T overall)
  • This Post (0.30%)
  • Schlager (27.27%)
  • Dschinghis Khan (19.39%)
  • Gitte Hænning (14.85%)
  • Herbert Grönemeyer (14.85%)
  • ABBA (10.91%)
  • Boney M. (4.85%)
  • Anke Engelke (4.85%)
  • Boney M (1.21%)
  • Howard Carpendale (1.21%)
  • Udo Jürgens (0.30%)
Influence Share (vs Direct Neighbours)
7.19% (3.6 overall)
  • This Post (7.19%)
  • Boney M (28.78%)
  • ABBA (7.19%)
  • Boney M. (7.19%)
  • Anke Engelke (7.19%)
  • Dschinghis Khan (7.19%)
  • Gitte Hænning (7.19%)
  • Herbert Grönemeyer (7.19%)
  • Howard Carpendale (7.19%)
  • Udo Jürgens (7.19%)
  • Schlager (6.47%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Boney M ↗
Str: 4Inf: 4
ABBA ↗
Str: 36Inf: 1
Boney M. ↗
Str: 16Inf: 1
Anke Engelke ↗
Str: 16Inf: 1
Dschinghis Khan ↗
Str: 64Inf: 1
Gitte Hænning ↗
Str: 49Inf: 1
Herbert Grönemeyer ↗
Str: 49Inf: 1
Howard Carpendale ↗
Str: 4Inf: 1
Udo Jürgens ↗
Str: 1Inf: 1
Schlager ↗
Str: 90Inf: 0.9
Weakest Connections (Lowest Multipliers)
Schlager ↗
Str: 90Inf: 0.9
Udo Jürgens ↗
Str: 1Inf: 1
Howard Carpendale ↗
Str: 4Inf: 1
Herbert Grönemeyer ↗
Str: 49Inf: 1
Gitte Hænning ↗
Str: 49Inf: 1
Dschinghis Khan ↗
Str: 64Inf: 1
Anke Engelke ↗
Str: 16Inf: 1
Boney M. ↗
Str: 16Inf: 1
ABBA ↗
Str: 36Inf: 1
Boney M ↗
Str: 4Inf: 4

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

Outbound Tags (1)
Schlager
Inbound Posts (1)
Schlager
Last calculated: Jun 8, 6:55 PM
28

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