Skip to content

Muso

Directory About
Continue with Google
Continue with Facebook

Top Related Posts

1000 ClownsDJ HomicideAnita KopaczMichelle KopaczDJ DizzyKid AlmightySugarbearKevi

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 5 days ago
Comments: 42

Francesca Ladybird
Last login: 2 months ago
Comments: 0

Matthew Leech
Last login: 3 months ago
Comments: 1

Jessica
Last login: 3 months ago
Comments: 0

Darragh Lennon
Last login: 4 months ago
Comments: 0

Cathal Kennedy
Last login: 4 months ago
Comments: 0

Mr. P Chill

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

  • 1000 Clowns

Connected Musicians

  • Anita Kopacz
  • DJ Dizzy
  • DJ Homicide
  • Kevi
  • Kid Almighty
  • Michelle Kopacz
  • Sugarbear

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.25% of network
(576)
Strength Breakdown
  • This Post (1.25%)
  • DJ Homicide (11.25%)
  • DJ Dizzy (1.25%)
  • Kid Almighty (1.25%)
  • Sugarbear (1.25%)
  • Anita Kopacz (1.25%)
  • Kevi (1.25%)
  • Michelle Kopacz (1.25%)
Dominant nodes (excluded from chart)
1000 Clowns 80.00%
Influence Score
i
11.11% of network
(1)
Influence Breakdown
  • This Post (11.11%)
  • 1000 Clowns (11.11%)
  • DJ Dizzy (11.11%)
  • DJ Homicide (11.11%)
  • Kid Almighty (11.11%)
  • Sugarbear (11.11%)
  • Anita Kopacz (11.11%)
  • Kevi (11.11%)
  • Michelle Kopacz (11.11%)
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 *
                           ( 64 [1000 Clowns] *
                            1 [DJ Dizzy] *
                            9 [DJ Homicide] *
                            1 [Kid Almighty] *
                            1 [Sugarbear] *
                            1 [Anita Kopacz] *
                            1 [Kevi] *
                            1 [Michelle Kopacz]
                           )

                         = 576

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [1000 Clowns] *
                            1 [DJ Dizzy] *
                            1 [DJ Homicide] *
                            1 [Kid Almighty] *
                            1 [Sugarbear] *
                            1 [Anita Kopacz] *
                            1 [Kevi] *
                            1 [Michelle Kopacz]
                           )

                         = 1
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)
1.25% (576 overall)
  • This Post (1.25%)
  • DJ Homicide (11.25%)
  • DJ Dizzy (1.25%)
  • Kid Almighty (1.25%)
  • Sugarbear (1.25%)
  • Anita Kopacz (1.25%)
  • Kevi (1.25%)
  • Michelle Kopacz (1.25%)
Dominant nodes (excluded from chart)
1000 Clowns 80.00%
Influence Share (vs Direct Neighbours)
11.11% (1 overall)
  • This Post (11.11%)
  • 1000 Clowns (11.11%)
  • DJ Dizzy (11.11%)
  • DJ Homicide (11.11%)
  • Kid Almighty (11.11%)
  • Sugarbear (11.11%)
  • Anita Kopacz (11.11%)
  • Kevi (11.11%)
  • Michelle Kopacz (11.11%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
1000 Clowns ↗
Str: 64Inf: 1
DJ Dizzy ↗
Str: 1Inf: 1
DJ Homicide ↗
Str: 9Inf: 1
Kid Almighty ↗
Str: 1Inf: 1
Sugarbear ↗
Str: 1Inf: 1
Anita Kopacz ↗
Str: 1Inf: 1
Kevi ↗
Str: 1Inf: 1
Michelle Kopacz ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Michelle Kopacz ↗
Str: 1Inf: 1
Kevi ↗
Str: 1Inf: 1
Anita Kopacz ↗
Str: 1Inf: 1
Sugarbear ↗
Str: 1Inf: 1
Kid Almighty ↗
Str: 1Inf: 1
DJ Homicide ↗
Str: 9Inf: 1
DJ Dizzy ↗
Str: 1Inf: 1
1000 Clowns ↗
Str: 64Inf: 1

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

Outbound Tags (1)
1000 Clowns
Inbound Posts (1)
1000 Clowns
Last calculated: Nov 10, 11:45 PM
13

Related Content

No related content found.

A Muso community