Skip to content

Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

SaskatoonShooting GunsBrennan BarclayJim GintherKeith DoepkerToby BondJay LoosSteve ReedZach Low

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 4 days ago
Comments: 0

Francesca Ladybird
Last login: 1 month ago
Comments: 0

Matthew Leech
Last login: 2 months ago
Comments: 1

Jessica
Last login: 2 months ago
Comments: 0

Darragh Lennon
Last login: 3 months ago
Comments: 0

Cathal Kennedy
Last login: 3 months ago
Comments: 0

Christopher Laramee

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

  • Saskatoon
  • Shooting Guns

Connected Musicians

  • Brennan Barclay
  • Jay Loos
  • Jim Ginther
  • Keith Doepker
  • Steve Reed
  • Toby Bond
  • Zach Low

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.08% of network
(324)
Strength Breakdown
  • This Post (1.08%)
  • Saskatoon (4.30%)
  • Brennan Barclay (1.08%)
  • Jay Loos (1.08%)
  • Jim Ginther (1.08%)
  • Keith Doepker (1.08%)
  • Steve Reed (1.08%)
  • Toby Bond (1.08%)
  • Zach Low (1.08%)
Dominant nodes (excluded from chart)
Shooting Guns 87.10%
Influence Score
i
10.00% of network
(1)
Influence Breakdown
  • This Post (10.00%)
  • Saskatoon (10.00%)
  • Shooting Guns (10.00%)
  • Brennan Barclay (10.00%)
  • Jay Loos (10.00%)
  • Jim Ginther (10.00%)
  • Keith Doepker (10.00%)
  • Steve Reed (10.00%)
  • Toby Bond (10.00%)
  • Zach Low (10.00%)
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 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 4 [Saskatoon] *
                            81 [Shooting Guns] *
                            1 [Brennan Barclay] *
                            1 [Jay Loos] *
                            1 [Jim Ginther] *
                            1 [Keith Doepker] *
                            1 [Steve Reed] *
                            1 [Toby Bond] *
                            1 [Zach Low]
                           )

                         = 324

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Saskatoon] *
                            1 [Shooting Guns] *
                            1 [Brennan Barclay] *
                            1 [Jay Loos] *
                            1 [Jim Ginther] *
                            1 [Keith Doepker] *
                            1 [Steve Reed] *
                            1 [Toby Bond] *
                            1 [Zach Low]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 9 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.08% (324 overall)
  • This Post (1.08%)
  • Saskatoon (4.30%)
  • Brennan Barclay (1.08%)
  • Jay Loos (1.08%)
  • Jim Ginther (1.08%)
  • Keith Doepker (1.08%)
  • Steve Reed (1.08%)
  • Toby Bond (1.08%)
  • Zach Low (1.08%)
Dominant nodes (excluded from chart)
Shooting Guns 87.10%
Influence Share (vs Direct Neighbours)
10.00% (1 overall)
  • This Post (10.00%)
  • Saskatoon (10.00%)
  • Shooting Guns (10.00%)
  • Brennan Barclay (10.00%)
  • Jay Loos (10.00%)
  • Jim Ginther (10.00%)
  • Keith Doepker (10.00%)
  • Steve Reed (10.00%)
  • Toby Bond (10.00%)
  • Zach Low (10.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Saskatoon ↗
Str: 4Inf: 1
Shooting Guns ↗
Str: 81Inf: 1
Brennan Barclay ↗
Str: 1Inf: 1
Jay Loos ↗
Str: 1Inf: 1
Jim Ginther ↗
Str: 1Inf: 1
Keith Doepker ↗
Str: 1Inf: 1
Steve Reed ↗
Str: 1Inf: 1
Toby Bond ↗
Str: 1Inf: 1
Zach Low ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Zach Low ↗
Str: 1Inf: 1
Toby Bond ↗
Str: 1Inf: 1
Steve Reed ↗
Str: 1Inf: 1
Keith Doepker ↗
Str: 1Inf: 1
Jim Ginther ↗
Str: 1Inf: 1
Jay Loos ↗
Str: 1Inf: 1
Brennan Barclay ↗
Str: 1Inf: 1
Shooting Guns ↗
Str: 81Inf: 1
Saskatoon ↗
Str: 4Inf: 1

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

Outbound Tags (1)
Shooting Guns
Inbound Posts (1)
Shooting Guns
Last calculated: Oct 12, 3:34 AM
13

Related Content

No related content found.

A Muso community