Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Boney M.
ABBASchlagerDschinghis KhanGitte HænningAnke EngelkeBoney MHerbert GrönemeyerHoward CarpendaleMike Krüger

Recent Logins

View Members Directory

Eileen Lally
Last login: 2 days ago
Comments: 0

Tadhg Kelleher
Last login: 6 days ago
Comments: 0

Özkan Konu
Last login: 3 weeks ago
Comments: 0

Anne Marie Bevan
Last login: 3 weeks ago
Comments: 0

Kevin Greene
Last login: 4 weeks ago
Comments: 0

Seán Millar
Last login: 4 weeks ago
Comments: 0

Udo Jürgens

Join the conversation

💬 Know something?

Sign in to leave a note, add a photo, or make a connection.

Continue with Google Continue with Facebook
Loading Graph...
Press Spacebar to toggle layout

Keep Muso free

Muso is built by one person, for the love of it. no investors — just your support.

€10
Covers an hour of research
Most popular
€25
Keeps the archive running
€50
Funds a full week of work
✎ Enter my own amount
€5
per month · cancel any time

You'll confirm the amount on the next screen

Donate €25 →
Secure checkout via Stripe  ·  No account needed

Connected Bands/Artists

  • ABBA
    ABBA band photo
  • Dschinghis Khan
  • Schlager

Connected Musicians

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

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%)
  • Mike Krüger (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%)
  • Mike Krüger (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 [Mike Krüger] *
                            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 [Mike Krüger] *
                            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%)
  • Mike Krüger (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%)
  • Mike Krüger (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
Mike Krüger ↗
Str: 1Inf: 1
Schlager ↗
Str: 90Inf: 0.9
Weakest Connections (Lowest Multipliers)
Schlager ↗
Str: 90Inf: 0.9
Mike Krüger ↗
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, 6:30 PM
Stockholm, Stockholm County, Sweden33

Related Content

No related content found.