Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Olivier RoelandtJan SamsonKris ScheerlinckSengirWim SchockaertBjorn SchauwersBruno GoedhuysFilip VinckPieter De LannoyEllen Schutyser

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 45 minutes ago
Comments: 0

jacierlogyn
Last login: 11 hours ago
Comments: 0

Eileen Lally
Last login: 3 weeks ago
Comments: 0

Özkan Konu
Last login: 1 month ago
Comments: 0

Anne Marie Bevan
Last login: 1 month ago
Comments: 0

Kevin Greene
Last login: 2 months ago
Comments: 0

Frederik De Dobbeleer

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

  • Sengir

Connected Musicians

  • Bjorn Schauwers
  • Bruno Goedhuys
  • Ellen Schutyser
  • Filip Vinck
  • Jan Samson
  • Kris Scheerlinck
  • Olivier Roelandt
  • Pieter De Lannoy
  • Wim Schockaert

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.91% of network
(100)
Strength Breakdown
  • This Post (0.91%)
  • Bjorn Schauwers (0.91%)
  • Bruno Goedhuys (0.91%)
  • Ellen Schutyser (0.91%)
  • Filip Vinck (0.91%)
  • Jan Samson (0.91%)
  • Kris Scheerlinck (0.91%)
  • Olivier Roelandt (0.91%)
  • Pieter De Lannoy (0.91%)
  • Wim Schockaert (0.91%)
Dominant nodes (excluded from chart)
Sengir 90.91%
Influence Score
i
9.09% of network
(1)
Influence Breakdown
  • This Post (9.09%)
  • Sengir (9.09%)
  • Bjorn Schauwers (9.09%)
  • Bruno Goedhuys (9.09%)
  • Ellen Schutyser (9.09%)
  • Filip Vinck (9.09%)
  • Jan Samson (9.09%)
  • Kris Scheerlinck (9.09%)
  • Olivier Roelandt (9.09%)
  • Pieter De Lannoy (9.09%)
  • Wim Schockaert (9.09%)
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 *
                           ( 100 [Sengir] *
                            1 [Bjorn Schauwers] *
                            1 [Bruno Goedhuys] *
                            1 [Ellen Schutyser] *
                            1 [Filip Vinck] *
                            1 [Jan Samson] *
                            1 [Kris Scheerlinck] *
                            1 [Olivier Roelandt] *
                            1 [Pieter De Lannoy] *
                            1 [Wim Schockaert]
                           )

                         = 100

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Sengir] *
                            1 [Bjorn Schauwers] *
                            1 [Bruno Goedhuys] *
                            1 [Ellen Schutyser] *
                            1 [Filip Vinck] *
                            1 [Jan Samson] *
                            1 [Kris Scheerlinck] *
                            1 [Olivier Roelandt] *
                            1 [Pieter De Lannoy] *
                            1 [Wim Schockaert]
                           )

                         = 1
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)
0.91% (100 overall)
  • This Post (0.91%)
  • Bjorn Schauwers (0.91%)
  • Bruno Goedhuys (0.91%)
  • Ellen Schutyser (0.91%)
  • Filip Vinck (0.91%)
  • Jan Samson (0.91%)
  • Kris Scheerlinck (0.91%)
  • Olivier Roelandt (0.91%)
  • Pieter De Lannoy (0.91%)
  • Wim Schockaert (0.91%)
Dominant nodes (excluded from chart)
Sengir 90.91%
Influence Share (vs Direct Neighbours)
9.09% (1 overall)
  • This Post (9.09%)
  • Sengir (9.09%)
  • Bjorn Schauwers (9.09%)
  • Bruno Goedhuys (9.09%)
  • Ellen Schutyser (9.09%)
  • Filip Vinck (9.09%)
  • Jan Samson (9.09%)
  • Kris Scheerlinck (9.09%)
  • Olivier Roelandt (9.09%)
  • Pieter De Lannoy (9.09%)
  • Wim Schockaert (9.09%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Sengir ↗
Str: 100Inf: 1
Bjorn Schauwers ↗
Str: 1Inf: 1
Bruno Goedhuys ↗
Str: 1Inf: 1
Ellen Schutyser ↗
Str: 1Inf: 1
Filip Vinck ↗
Str: 1Inf: 1
Jan Samson ↗
Str: 1Inf: 1
Kris Scheerlinck ↗
Str: 1Inf: 1
Olivier Roelandt ↗
Str: 1Inf: 1
Pieter De Lannoy ↗
Str: 1Inf: 1
Wim Schockaert ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Wim Schockaert ↗
Str: 1Inf: 1
Pieter De Lannoy ↗
Str: 1Inf: 1
Olivier Roelandt ↗
Str: 1Inf: 1
Kris Scheerlinck ↗
Str: 1Inf: 1
Jan Samson ↗
Str: 1Inf: 1
Filip Vinck ↗
Str: 1Inf: 1
Ellen Schutyser ↗
Str: 1Inf: 1
Bruno Goedhuys ↗
Str: 1Inf: 1
Bjorn Schauwers ↗
Str: 1Inf: 1
Sengir ↗
Str: 100Inf: 1

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

Outbound Tags (1)
Sengir
Inbound Posts (1)
Sengir
Last calculated: Jun 29, 4:19 PM
21

Related Content

No related content found.