Skip to content

Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Nick South
Sniff ‘n’ the Tears

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 2 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

The Multi

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

  • Sniff ‘n’ the Tears
    Sniff ‘n’ the Tears band photo

Connected Musicians

  • Nick South
    Nick South band photo

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.34% of network
(1.2K)
Strength Breakdown
  • This Post (0.34%)
  • Sniff 'n' the Tears (98.30%)
  • Nick South (1.36%)
Influence Score
i
33.33% of network
(1)
Influence Breakdown
  • This Post (33.33%)
  • Sniff 'n' the Tears (33.33%)
  • Nick South (33.33%)
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 2 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 289 [Sniff 'n' the Tears] *
                            4 [Nick South]
                           )

                         = 1.2K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Sniff 'n' the Tears] *
                            1 [Nick South]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 2 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.34% (1.2K overall)
  • This Post (0.34%)
  • Sniff 'n' the Tears (98.30%)
  • Nick South (1.36%)
Influence Share (vs Direct Neighbours)
33.33% (1 overall)
  • This Post (33.33%)
  • Sniff 'n' the Tears (33.33%)
  • Nick South (33.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Sniff 'n' the Tears ↗
Str: 289Inf: 1
Nick South ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Nick South ↗
Str: 4Inf: 1
Sniff 'n' the Tears ↗
Str: 289Inf: 1

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

Outbound Tags (1)
Nick South
Inbound Posts (1)
Nick South
Last calculated: Oct 9, 8:06 PM
39

Related Content

No related content found.

A Muso community