Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Kevin Foley (4)Jéjé DucrotThomas Betrisey
Mumakil
Benoit GuggisbergJeremy TavernierTom (38)

Recent Logins

View Members Directory

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: 1 month ago
Comments: 0

Seán Millar
Last login: 2 months ago
Comments: 0

Seb (17)

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

  • Mumakil
    Mumakil band photo

Connected Musicians

  • Benoit Guggisberg
  • Jéjé Ducrot
  • Jeremy Tavernier
  • Kevin Foley (4)
  • Thomas Betrisey
  • Tom (38)

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.35% of network
(3.1K)
Strength Breakdown
  • This Post (1.35%)
  • Thomas Betrisey (5.41%)
  • Benoit Guggisberg (1.35%)
  • Jéjé Ducrot (1.35%)
  • Jeremy Tavernier (1.35%)
  • Tom (38) (1.35%)
Dominant nodes (excluded from chart)
Mumakil 66.22%Kevin Foley (4) 21.62%
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Mumakil (12.50%)
  • Benoit Guggisberg (12.50%)
  • Jéjé Ducrot (12.50%)
  • Thomas Betrisey (12.50%)
  • Kevin Foley (4) (12.50%)
  • Jeremy Tavernier (12.50%)
  • Tom (38) (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 [Mumakil] *
                            1 [Benoit Guggisberg] *
                            1 [Jéjé Ducrot] *
                            4 [Thomas Betrisey] *
                            16 [Kevin Foley (4)] *
                            1 [Jeremy Tavernier] *
                            1 [Tom (38)]
                           )

                         = 3.1K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Mumakil] *
                            1 [Benoit Guggisberg] *
                            1 [Jéjé Ducrot] *
                            1 [Thomas Betrisey] *
                            1 [Kevin Foley (4)] *
                            1 [Jeremy Tavernier] *
                            1 [Tom (38)]
                           )

                         = 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)
1.35% (3.1K overall)
  • This Post (1.35%)
  • Thomas Betrisey (5.41%)
  • Benoit Guggisberg (1.35%)
  • Jéjé Ducrot (1.35%)
  • Jeremy Tavernier (1.35%)
  • Tom (38) (1.35%)
Dominant nodes (excluded from chart)
Mumakil 66.22%Kevin Foley (4) 21.62%
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Mumakil (12.50%)
  • Benoit Guggisberg (12.50%)
  • Jéjé Ducrot (12.50%)
  • Thomas Betrisey (12.50%)
  • Kevin Foley (4) (12.50%)
  • Jeremy Tavernier (12.50%)
  • Tom (38) (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Mumakil ↗
Str: 49Inf: 1
Benoit Guggisberg ↗
Str: 1Inf: 1
Jéjé Ducrot ↗
Str: 1Inf: 1
Thomas Betrisey ↗
Str: 4Inf: 1
Kevin Foley (4) ↗
Str: 16Inf: 1
Jeremy Tavernier ↗
Str: 1Inf: 1
Tom (38) ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Tom (38) ↗
Str: 1Inf: 1
Jeremy Tavernier ↗
Str: 1Inf: 1
Kevin Foley (4) ↗
Str: 16Inf: 1
Thomas Betrisey ↗
Str: 4Inf: 1
Jéjé Ducrot ↗
Str: 1Inf: 1
Benoit Guggisberg ↗
Str: 1Inf: 1
Mumakil ↗
Str: 49Inf: 1

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

Outbound Tags (1)
Mumakil
Inbound Posts (1)
Mumakil
Last calculated: Jun 24, 10:42 AM
20

Related Content

No related content found.