Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

DJ HomicideAnita KopaczSugar Ray (2)Michelle KopaczDJ DizzyKid AlmightySugarbearKeviColored SectionMr. P Chill

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 8 hours 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

1000 Clowns

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

  • Colored Section
  • Sugar Ray (2)

Connected Musicians

  • Anita Kopacz
  • DJ Dizzy
  • DJ Homicide
  • Kevi
  • Kid Almighty
  • Michelle Kopacz
  • Mr. P Chill
  • Sugarbear

Analyzing Network Connections...

Network Profile

Overall Strength
i
71.11% of network
(5.2K)
Strength Breakdown
  • This Post (71.11%)
  • DJ Homicide (10.00%)
  • Sugar Ray (2) (10.00%)
  • DJ Dizzy (1.11%)
  • Kid Almighty (1.11%)
  • Mr. P Chill (1.11%)
  • Sugarbear (1.11%)
  • Anita Kopacz (1.11%)
  • Kevi (1.11%)
  • Michelle Kopacz (1.11%)
  • Colored Section (1.11%)
Influence Score
i
9.09% of network
(1)
Influence Breakdown
  • This Post (9.09%)
  • DJ Dizzy (9.09%)
  • DJ Homicide (9.09%)
  • Kid Almighty (9.09%)
  • Mr. P Chill (9.09%)
  • Sugarbear (9.09%)
  • Anita Kopacz (9.09%)
  • Kevi (9.09%)
  • Michelle Kopacz (9.09%)
  • Sugar Ray (2) (9.09%)
  • Colored Section (9.09%)
Direct Connections 16

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, 8) = 8
$outbound = max(1, 8) = 8

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1

// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 64 *
                           ( 1 [DJ Dizzy] *
                            9 [DJ Homicide] *
                            1 [Kid Almighty] *
                            1 [Mr. P Chill] *
                            1 [Sugarbear] *
                            1 [Anita Kopacz] *
                            1 [Kevi] *
                            1 [Michelle Kopacz] *
                            9 [Sugar Ray (2)] *
                            1 [Colored Section]
                           )

                         = 5.2K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [DJ Dizzy] *
                            1 [DJ Homicide] *
                            1 [Kid Almighty] *
                            1 [Mr. P Chill] *
                            1 [Sugarbear] *
                            1 [Anita Kopacz] *
                            1 [Kevi] *
                            1 [Michelle Kopacz] *
                            1 [Sugar Ray (2)] *
                            1 [Colored Section]
                           )

                         = 1
Outbound 8 Tags on post
Inbound 8 Posts tagging this
Connections 10 Total nodes
Base Node Strength 64
Base Node Influence 1
Strength Share (vs Direct Neighbours)
71.11% (5.2K overall)
  • This Post (71.11%)
  • DJ Homicide (10.00%)
  • Sugar Ray (2) (10.00%)
  • DJ Dizzy (1.11%)
  • Kid Almighty (1.11%)
  • Mr. P Chill (1.11%)
  • Sugarbear (1.11%)
  • Anita Kopacz (1.11%)
  • Kevi (1.11%)
  • Michelle Kopacz (1.11%)
  • Colored Section (1.11%)
Influence Share (vs Direct Neighbours)
9.09% (1 overall)
  • This Post (9.09%)
  • DJ Dizzy (9.09%)
  • DJ Homicide (9.09%)
  • Kid Almighty (9.09%)
  • Mr. P Chill (9.09%)
  • Sugarbear (9.09%)
  • Anita Kopacz (9.09%)
  • Kevi (9.09%)
  • Michelle Kopacz (9.09%)
  • Sugar Ray (2) (9.09%)
  • Colored Section (9.09%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
DJ Dizzy ↗
Str: 1Inf: 1
DJ Homicide ↗
Str: 9Inf: 1
Kid Almighty ↗
Str: 1Inf: 1
Mr. P Chill ↗
Str: 1Inf: 1
Sugarbear ↗
Str: 1Inf: 1
Anita Kopacz ↗
Str: 1Inf: 1
Kevi ↗
Str: 1Inf: 1
Michelle Kopacz ↗
Str: 1Inf: 1
Sugar Ray (2) ↗
Str: 9Inf: 1
Colored Section ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Colored Section ↗
Str: 1Inf: 1
Sugar Ray (2) ↗
Str: 9Inf: 1
Michelle Kopacz ↗
Str: 1Inf: 1
Kevi ↗
Str: 1Inf: 1
Anita Kopacz ↗
Str: 1Inf: 1
Sugarbear ↗
Str: 1Inf: 1
Mr. P Chill ↗
Str: 1Inf: 1
Kid Almighty ↗
Str: 1Inf: 1
DJ Homicide ↗
Str: 9Inf: 1
DJ Dizzy ↗
Str: 1Inf: 1

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

Outbound Tags (8)
Anita Kopacz
DJ Dizzy
DJ Homicide
Kevi
Kid Almighty
Michelle Kopacz
Mr. P Chill
Sugarbear
Inbound Posts (8)
DJ Dizzy
DJ Homicide
Kid Almighty
Mr. P Chill
Sugarbear
Anita Kopacz
Kevi
Michelle Kopacz
Last calculated: Jun 23, 1:46 PM
46

Related Content

No related content found.