Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Saille
Tony Van Den EyndeRaf MeukensFilip DupontKevin De LeenerKristof Van IseghemReinier Schenk

Recent Logins

View Members Directory

jacierlogyn
Last login: 3 hours ago
Comments: 0

Tadhg Kelleher
Last login: 1 day 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

Didier Vancampo

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

  • Saille
    Saille band photo

Connected Musicians

  • Kevin De Leener
  • Kristof Van Iseghem
  • Raf Meukens
  • Reinier Schenk
  • Tony Van Den Eynde

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.61% of network
(784)
Strength Breakdown
  • This Post (1.61%)
  • Filip Dupont (6.45%)
  • Tony Van Den Eynde (6.45%)
  • Raf Meukens (1.61%)
  • Reinier Schenk (1.61%)
  • Kevin De Leener (1.61%)
  • Kristof Van Iseghem (1.61%)
Dominant nodes (excluded from chart)
Saille 79.03%
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Saille (12.50%)
  • Raf Meukens (12.50%)
  • Filip Dupont (12.50%)
  • Reinier Schenk (12.50%)
  • Tony Van Den Eynde (12.50%)
  • Kevin De Leener (12.50%)
  • Kristof Van Iseghem (12.50%)
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 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 49 [Saille] *
                            1 [Raf Meukens] *
                            4 [Filip Dupont] *
                            1 [Reinier Schenk] *
                            4 [Tony Van Den Eynde] *
                            1 [Kevin De Leener] *
                            1 [Kristof Van Iseghem]
                           )

                         = 784

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Saille] *
                            1 [Raf Meukens] *
                            1 [Filip Dupont] *
                            1 [Reinier Schenk] *
                            1 [Tony Van Den Eynde] *
                            1 [Kevin De Leener] *
                            1 [Kristof Van Iseghem]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.61% (784 overall)
  • This Post (1.61%)
  • Filip Dupont (6.45%)
  • Tony Van Den Eynde (6.45%)
  • Raf Meukens (1.61%)
  • Reinier Schenk (1.61%)
  • Kevin De Leener (1.61%)
  • Kristof Van Iseghem (1.61%)
Dominant nodes (excluded from chart)
Saille 79.03%
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Saille (12.50%)
  • Raf Meukens (12.50%)
  • Filip Dupont (12.50%)
  • Reinier Schenk (12.50%)
  • Tony Van Den Eynde (12.50%)
  • Kevin De Leener (12.50%)
  • Kristof Van Iseghem (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Saille ↗
Str: 49Inf: 1
Raf Meukens ↗
Str: 1Inf: 1
Filip Dupont ↗
Str: 4Inf: 1
Reinier Schenk ↗
Str: 1Inf: 1
Tony Van Den Eynde ↗
Str: 4Inf: 1
Kevin De Leener ↗
Str: 1Inf: 1
Kristof Van Iseghem ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Kristof Van Iseghem ↗
Str: 1Inf: 1
Kevin De Leener ↗
Str: 1Inf: 1
Tony Van Den Eynde ↗
Str: 4Inf: 1
Reinier Schenk ↗
Str: 1Inf: 1
Filip Dupont ↗
Str: 4Inf: 1
Raf Meukens ↗
Str: 1Inf: 1
Saille ↗
Str: 49Inf: 1

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

Outbound Tags (1)
Saille
Inbound Posts (1)
Saille
Last calculated: Jun 29, 8:13 AM
20

Related Content

Figures

  • Filip Dupont