Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

The Causey WayRichie EdelsonBrian TeasleyScott Stanton (3)Erich HubnerSamantha PaulsenBrian CauseyJason RussellJeff GoodwinRob Del Bueno

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 8 hours ago
Comments: 0

Francesca Ladybird
Last login: 1 week ago
Comments: 0

Matthew Leech
Last login: 1 month ago
Comments: 1

Jessica
Last login: 1 month ago
Comments: 0

Darragh Lennon
Last login: 2 months ago
Comments: 0

Cathal Kennedy
Last login: 2 months ago
Comments: 0

Man or Astro-man?

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

  • The Causey Way

Connected Musicians

  • Brian Teasley
  • Scott Stanton (3)

Network Profile

Overall Strength
i
58.70% of network
(54.4K)
Strength Breakdown
  • This Post (58.70%)
  • Brian Teasley (2.90%)
  • Scott Stanton (3) (2.90%)
  • Brian Causey (0.72%)
  • Erich Hubner (0.72%)
  • Jason Russell (0.72%)
  • Jeff Goodwin (0.72%)
  • Richie Edelson (0.72%)
  • Rob Del Bueno (0.72%)
  • Samantha Paulsen (0.72%)
Dominant nodes (excluded from chart)
The Causey Way 30.43%
Influence Score
i
9.21% of network
(0.8571)
Influence Breakdown
  • This Post (9.21%)
  • Brian Teasley (9.21%)
  • Scott Stanton (3) (9.21%)
  • Brian Causey (9.21%)
  • Erich Hubner (9.21%)
  • Jason Russell (9.21%)
  • Jeff Goodwin (9.21%)
  • Richie Edelson (9.21%)
  • Rob Del Bueno (9.21%)
  • Samantha Paulsen (9.21%)
  • The Causey Way (7.89%)
Direct Connections 18

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, 9) = 9
$outbound = max(1, 9) = 9

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1

// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 81 *
                           ( 4 [Brian Teasley] *
                            4 [Scott Stanton (3)] *
                            1 [Brian Causey] *
                            1 [Erich Hubner] *
                            1 [Jason Russell] *
                            1 [Jeff Goodwin] *
                            1 [Richie Edelson] *
                            1 [Rob Del Bueno] *
                            1 [Samantha Paulsen] *
                            42 [The Causey Way]
                           )

                         = 54.4K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Brian Teasley] *
                            1 [Scott Stanton (3)] *
                            1 [Brian Causey] *
                            1 [Erich Hubner] *
                            1 [Jason Russell] *
                            1 [Jeff Goodwin] *
                            1 [Richie Edelson] *
                            1 [Rob Del Bueno] *
                            1 [Samantha Paulsen] *
                            0.8571 [The Causey Way]
                           )

                         = 0.8571
Outbound 9 Tags on post
Inbound 9 Posts tagging this
Connections 10 Total nodes
Base Node Strength 81
Base Node Influence 1
Strength Share (vs Direct Neighbours)
58.70% (54.4K overall)
  • This Post (58.70%)
  • Brian Teasley (2.90%)
  • Scott Stanton (3) (2.90%)
  • Brian Causey (0.72%)
  • Erich Hubner (0.72%)
  • Jason Russell (0.72%)
  • Jeff Goodwin (0.72%)
  • Richie Edelson (0.72%)
  • Rob Del Bueno (0.72%)
  • Samantha Paulsen (0.72%)
Dominant nodes (excluded from chart)
The Causey Way 30.43%
Influence Share (vs Direct Neighbours)
9.21% (0.8571 overall)
  • This Post (9.21%)
  • Brian Teasley (9.21%)
  • Scott Stanton (3) (9.21%)
  • Brian Causey (9.21%)
  • Erich Hubner (9.21%)
  • Jason Russell (9.21%)
  • Jeff Goodwin (9.21%)
  • Richie Edelson (9.21%)
  • Rob Del Bueno (9.21%)
  • Samantha Paulsen (9.21%)
  • The Causey Way (7.89%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Brian Teasley ↗
Str: 4Inf: 1
Scott Stanton (3) ↗
Str: 4Inf: 1
Brian Causey ↗
Str: 1Inf: 1
Erich Hubner ↗
Str: 1Inf: 1
Jason Russell ↗
Str: 1Inf: 1
Jeff Goodwin ↗
Str: 1Inf: 1
Richie Edelson ↗
Str: 1Inf: 1
Rob Del Bueno ↗
Str: 1Inf: 1
Samantha Paulsen ↗
Str: 1Inf: 1
The Causey Way ↗
Str: 42Inf: 0.8571
Weakest Connections (Lowest Multipliers)
The Causey Way ↗
Str: 42Inf: 0.8571
Samantha Paulsen ↗
Str: 1Inf: 1
Rob Del Bueno ↗
Str: 1Inf: 1
Richie Edelson ↗
Str: 1Inf: 1
Jeff Goodwin ↗
Str: 1Inf: 1
Jason Russell ↗
Str: 1Inf: 1
Erich Hubner ↗
Str: 1Inf: 1
Brian Causey ↗
Str: 1Inf: 1
Scott Stanton (3) ↗
Str: 4Inf: 1
Brian Teasley ↗
Str: 4Inf: 1

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

Outbound Tags (9)
Brian Causey
Brian Teasley
Erich Hubner
Jason Russell
Jeff Goodwin
Richie Edelson
Rob Del Bueno
Samantha Paulsen
Scott Stanton (3)
Inbound Posts (9)
Brian Teasley
Scott Stanton (3)
Brian Causey
Erich Hubner
Jason Russell
Jeff Goodwin
Richie Edelson
Rob Del Bueno
Samantha Paulsen
Last calculated: Sep 9, 4:33 AM
30

Related Content

Topics

  • Richie Edelson
  • Rob Del Bueno
  • Samantha Paulsen
  • Brian Causey
  • Erich Hubner
  • Jason Russell
  • Jeff Goodwin