Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Martin FoyeVincent McCuskerStephen Houston
FruuppPeter Farrellyian MacDonaldPaul Charles (2)Paul Charles

Recent Logins

View Members Directory

Eileen Lally
Last login: 2 days ago
Comments: 0

Tadhg Kelleher
Last login: 6 days ago
Comments: 0

Özkan Konu
Last login: 3 weeks ago
Comments: 0

Anne Marie Bevan
Last login: 3 weeks ago
Comments: 0

Kevin Greene
Last login: 4 weeks ago
Comments: 0

Seán Millar
Last login: 4 weeks ago
Comments: 0

John Mason (4)

Join the conversation

💬 Know something?

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

Continue with Google Continue with Facebook
Loading Graph...
Press Spacebar to toggle layout

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

  • Fruupp
    Fruupp band photo

Connected Musicians

  • ian MacDonald
  • Martin Foye
  • Paul Charles
  • Paul Charles (2)
  • Peter Farrelly
  • Stephen Houston
  • Vincent McCusker

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.18% of network
(32.8K)
Strength Breakdown
  • This Post (1.18%)
  • Vincent McCusker (4.71%)
  • Paul Charles (4.71%)
  • Stephen Houston (4.71%)
  • ian MacDonald (4.71%)
  • Martin Foye (2.35%)
  • Peter Farrelly (1.18%)
  • Paul Charles (2) (1.18%)
Dominant nodes (excluded from chart)
Fruupp 75.29%
Influence Score
i
11.76% of network
(0.5)
Influence Breakdown
  • This Post (11.76%)
  • Vincent McCusker (11.76%)
  • Peter Farrelly (11.76%)
  • Fruupp (11.76%)
  • Paul Charles (11.76%)
  • Paul Charles (2) (11.76%)
  • Stephen Houston (11.76%)
  • ian MacDonald (11.76%)
  • Martin Foye (5.88%)
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 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 4 [Vincent McCusker] *
                            1 [Peter Farrelly] *
                            64 [Fruupp] *
                            4 [Paul Charles] *
                            1 [Paul Charles (2)] *
                            4 [Stephen Houston] *
                            4 [ian MacDonald] *
                            2 [Martin Foye]
                           )
                         = 32.8K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Vincent McCusker] *
                            1 [Peter Farrelly] *
                            1 [Fruupp] *
                            1 [Paul Charles] *
                            1 [Paul Charles (2)] *
                            1 [Stephen Houston] *
                            1 [ian MacDonald] *
                            0.5 [Martin Foye]
                           )
                         = 0.5
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 8 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.18% (32.8K overall)
  • This Post (1.18%)
  • Vincent McCusker (4.71%)
  • Paul Charles (4.71%)
  • Stephen Houston (4.71%)
  • ian MacDonald (4.71%)
  • Martin Foye (2.35%)
  • Peter Farrelly (1.18%)
  • Paul Charles (2) (1.18%)
Dominant nodes (excluded from chart)
Fruupp 75.29%
Influence Share (vs Direct Neighbours)
11.76% (0.5 overall)
  • This Post (11.76%)
  • Vincent McCusker (11.76%)
  • Peter Farrelly (11.76%)
  • Fruupp (11.76%)
  • Paul Charles (11.76%)
  • Paul Charles (2) (11.76%)
  • Stephen Houston (11.76%)
  • ian MacDonald (11.76%)
  • Martin Foye (5.88%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Vincent McCusker ↗
Str: 4Inf: 1
Peter Farrelly ↗
Str: 1Inf: 1
Fruupp ↗
Str: 64Inf: 1
Paul Charles ↗
Str: 4Inf: 1
Paul Charles (2) ↗
Str: 1Inf: 1
Stephen Houston ↗
Str: 4Inf: 1
ian MacDonald ↗
Str: 4Inf: 1
Martin Foye ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
Martin Foye ↗
Str: 2Inf: 0.5
ian MacDonald ↗
Str: 4Inf: 1
Stephen Houston ↗
Str: 4Inf: 1
Paul Charles (2) ↗
Str: 1Inf: 1
Paul Charles ↗
Str: 4Inf: 1
Fruupp ↗
Str: 64Inf: 1
Peter Farrelly ↗
Str: 1Inf: 1
Vincent McCusker ↗
Str: 4Inf: 1

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

Outbound Tags (1)
Fruupp
Inbound Posts (1)
Fruupp
Last calculated: Jun 8, 5:19 AM
17

Related Content

No related content found.