Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Fred Frith
Chris Cutler
Denis Van Hecke
AKSAK MABOULLucien FraipontVincent KenisMarc HollanderFaustine HollanderFrank Wuyts

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 3 hours ago
Comments: 0

Francesca Ladybird
Last login: 2 weeks ago
Comments: 0

Matthew Leech
Last login: 1 month ago
Comments: 1

Jessica
Last login: 2 months ago
Comments: 0

Darragh Lennon
Last login: 2 months ago
Comments: 0

Cathal Kennedy
Last login: 2 months ago
Comments: 0

Erik Heestermans

Loading Graph...
Press Spacebar to toggle layout
Join the conversation

💬 Know something?

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

Continue with Google Continue with Facebook

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

  • AKSAK MABOUL

Connected Musicians

  • Chris Cutler
    Chris Cutler band photo
  • Denis Van Hecke
    Denis Van Hecke band photo
  • Faustine Hollander
  • Frank Wuyts
  • Fred Frith
    Fred Frith band photo
  • Lucien Fraipont
  • Marc Hollander
  • Vincent Kenis

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.11% of network
(850.31M)
Strength Breakdown
  • This Post (0.11%)
  • Faustine Hollander (0.11%)
  • Frank Wuyts (0.11%)
  • Lucien Fraipont (0.11%)
  • Marc Hollander (0.11%)
  • Vincent Kenis (0.11%)
Dominant nodes (excluded from chart)
Chris Cutler 44.84%Fred Frith 36.32%Denis Van Hecke 9.08%AKSAK MABOUL 9.08%
Influence Score
i
10.00% of network
(1)
Influence Breakdown
  • This Post (10.00%)
  • Denis Van Hecke (10.00%)
  • Fred Frith (10.00%)
  • AKSAK MABOUL (10.00%)
  • Chris Cutler (10.00%)
  • Faustine Hollander (10.00%)
  • Frank Wuyts (10.00%)
  • Lucien Fraipont (10.00%)
  • Marc Hollander (10.00%)
  • Vincent Kenis (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 [Denis Van Hecke] *
                            324 [Fred Frith] *
                            81 [AKSAK MABOUL] *
                            400 [Chris Cutler] *
                            1 [Faustine Hollander] *
                            1 [Frank Wuyts] *
                            1 [Lucien Fraipont] *
                            1 [Marc Hollander] *
                            1 [Vincent Kenis]
                           )

                         = 850.31M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Denis Van Hecke] *
                            1 [Fred Frith] *
                            1 [AKSAK MABOUL] *
                            1 [Chris Cutler] *
                            1 [Faustine Hollander] *
                            1 [Frank Wuyts] *
                            1 [Lucien Fraipont] *
                            1 [Marc Hollander] *
                            1 [Vincent Kenis]
                           )

                         = 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)
0.11% (850.31M overall)
  • This Post (0.11%)
  • Faustine Hollander (0.11%)
  • Frank Wuyts (0.11%)
  • Lucien Fraipont (0.11%)
  • Marc Hollander (0.11%)
  • Vincent Kenis (0.11%)
Dominant nodes (excluded from chart)
Chris Cutler 44.84%Fred Frith 36.32%Denis Van Hecke 9.08%AKSAK MABOUL 9.08%
Influence Share (vs Direct Neighbours)
10.00% (1 overall)
  • This Post (10.00%)
  • Denis Van Hecke (10.00%)
  • Fred Frith (10.00%)
  • AKSAK MABOUL (10.00%)
  • Chris Cutler (10.00%)
  • Faustine Hollander (10.00%)
  • Frank Wuyts (10.00%)
  • Lucien Fraipont (10.00%)
  • Marc Hollander (10.00%)
  • Vincent Kenis (10.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Denis Van Hecke ↗
Str: 81Inf: 1
Fred Frith ↗
Str: 324Inf: 1
AKSAK MABOUL ↗
Str: 81Inf: 1
Chris Cutler ↗
Str: 400Inf: 1
Faustine Hollander ↗
Str: 1Inf: 1
Frank Wuyts ↗
Str: 1Inf: 1
Lucien Fraipont ↗
Str: 1Inf: 1
Marc Hollander ↗
Str: 1Inf: 1
Vincent Kenis ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Vincent Kenis ↗
Str: 1Inf: 1
Marc Hollander ↗
Str: 1Inf: 1
Lucien Fraipont ↗
Str: 1Inf: 1
Frank Wuyts ↗
Str: 1Inf: 1
Faustine Hollander ↗
Str: 1Inf: 1
Chris Cutler ↗
Str: 400Inf: 1
AKSAK MABOUL ↗
Str: 81Inf: 1
Fred Frith ↗
Str: 324Inf: 1
Denis Van Hecke ↗
Str: 81Inf: 1

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

Outbound Tags (1)
AKSAK MABOUL
Inbound Posts (1)
AKSAK MABOUL
Last calculated: Sep 13, 1:18 PM
39

Related Content

No related content found.