Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Kevin Foley (4)Jéjé DucrotThomas Betrisey
Benighted
Nervecell
DisavowedBenoit GuggisbergJeremy TavernierSeb (17)Sybreed

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 4 days ago
Comments: 0

Eileen Lally
Last login: 2 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: 1 month ago
Comments: 0

Mumakil

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

  • Benighted
    Benighted band photo
  • Disavowed
  • Nervecell
    Nervecell band photo
  • Sybreed

Connected Musicians

  • Benoit Guggisberg
  • Jéjé Ducrot
  • Jeremy Tavernier
  • Kevin Foley (4)
  • Seb (17)
  • Thomas Betrisey
  • Tom (38)

Analyzing Network Connections...

Network Profile

Overall Strength
i
13.80% of network
(58.53B)
Strength Breakdown
  • This Post (13.80%)
  • Nervecell (10.14%)
  • Kevin Foley (4) (4.51%)
  • Thomas Betrisey (1.13%)
  • Benoit Guggisberg (0.28%)
  • Jéjé Ducrot (0.28%)
  • Jeremy Tavernier (0.28%)
  • Seb (17) (0.28%)
  • Tom (38) (0.28%)
Dominant nodes (excluded from chart)
Benighted 28.17%Disavowed 22.82%Sybreed 18.03%
Influence Score
i
8.33% of network
(1)
Influence Breakdown
  • This Post (8.33%)
  • Benoit Guggisberg (8.33%)
  • Jéjé Ducrot (8.33%)
  • Thomas Betrisey (8.33%)
  • Kevin Foley (4) (8.33%)
  • Jeremy Tavernier (8.33%)
  • Seb (17) (8.33%)
  • Tom (38) (8.33%)
  • Sybreed (8.33%)
  • Benighted (8.33%)
  • Disavowed (8.33%)
  • Nervecell (8.33%)
Direct Connections 14

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, 7) = 7
$outbound = max(1, 7) = 7

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1

// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 49 *
                           ( 1 [Benoit Guggisberg] *
                            1 [Jéjé Ducrot] *
                            4 [Thomas Betrisey] *
                            16 [Kevin Foley (4)] *
                            1 [Jeremy Tavernier] *
                            1 [Seb (17)] *
                            1 [Tom (38)] *
                            64 [Sybreed] *
                            100 [Benighted] *
                            81 [Disavowed] *
                            36 [Nervecell]
                           )

                         = 58.53B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Benoit Guggisberg] *
                            1 [Jéjé Ducrot] *
                            1 [Thomas Betrisey] *
                            1 [Kevin Foley (4)] *
                            1 [Jeremy Tavernier] *
                            1 [Seb (17)] *
                            1 [Tom (38)] *
                            1 [Sybreed] *
                            1 [Benighted] *
                            1 [Disavowed] *
                            1 [Nervecell]
                           )

                         = 1
Outbound 7 Tags on post
Inbound 7 Posts tagging this
Connections 11 Total nodes
Base Node Strength 49
Base Node Influence 1
Strength Share (vs Direct Neighbours)
13.80% (58.53B overall)
  • This Post (13.80%)
  • Nervecell (10.14%)
  • Kevin Foley (4) (4.51%)
  • Thomas Betrisey (1.13%)
  • Benoit Guggisberg (0.28%)
  • Jéjé Ducrot (0.28%)
  • Jeremy Tavernier (0.28%)
  • Seb (17) (0.28%)
  • Tom (38) (0.28%)
Dominant nodes (excluded from chart)
Benighted 28.17%Disavowed 22.82%Sybreed 18.03%
Influence Share (vs Direct Neighbours)
8.33% (1 overall)
  • This Post (8.33%)
  • Benoit Guggisberg (8.33%)
  • Jéjé Ducrot (8.33%)
  • Thomas Betrisey (8.33%)
  • Kevin Foley (4) (8.33%)
  • Jeremy Tavernier (8.33%)
  • Seb (17) (8.33%)
  • Tom (38) (8.33%)
  • Sybreed (8.33%)
  • Benighted (8.33%)
  • Disavowed (8.33%)
  • Nervecell (8.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
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
Seb (17) ↗
Str: 1Inf: 1
Tom (38) ↗
Str: 1Inf: 1
Sybreed ↗
Str: 64Inf: 1
Benighted ↗
Str: 100Inf: 1
Disavowed ↗
Str: 81Inf: 1
Nervecell ↗
Str: 36Inf: 1
Weakest Connections (Lowest Multipliers)
Nervecell ↗
Str: 36Inf: 1
Disavowed ↗
Str: 81Inf: 1
Benighted ↗
Str: 100Inf: 1
Sybreed ↗
Str: 64Inf: 1
Tom (38) ↗
Str: 1Inf: 1
Seb (17) ↗
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

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

Outbound Tags (7)
Benoit Guggisberg
Jéjé Ducrot
Jeremy Tavernier
Kevin Foley (4)
Seb (17)
Thomas Betrisey
Tom (38)
Inbound Posts (7)
Benoit Guggisberg
Jéjé Ducrot
Thomas Betrisey
Kevin Foley (4)
Jeremy Tavernier
Seb (17)
Tom (38)
Last calculated: Jun 19, 5:57 PM
30

Related Content

No related content found.