Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Rob Swire
Knife Party
Gareth McGrillen

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 5 days 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

Pendulum (3)

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

  • Knife Party
    Knife Party band photo

Connected Musicians

  • Gareth McGrillen
    Gareth McGrillen band photo
  • Rob Swire
    Rob Swire band photo

Analyzing Network Connections...

Network Profile

Overall Strength
i
19.05% of network
(576)
Strength Breakdown
  • This Post (19.05%)
  • Knife Party (42.86%)
  • Rob Swire (19.05%)
  • Gareth McGrillen (19.05%)
Influence Score
i
25.00% of network
(1)
Influence Breakdown
  • This Post (25.00%)
  • Knife Party (25.00%)
  • Rob Swire (25.00%)
  • Gareth McGrillen (25.00%)
Direct Connections 4

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, 2) = 2
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 3 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 9 [Knife Party] *
                            4 [Rob Swire] *
                            4 [Gareth McGrillen]
                           )

                         = 576

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Knife Party] *
                            1 [Rob Swire] *
                            1 [Gareth McGrillen]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 3 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
19.05% (576 overall)
  • This Post (19.05%)
  • Knife Party (42.86%)
  • Rob Swire (19.05%)
  • Gareth McGrillen (19.05%)
Influence Share (vs Direct Neighbours)
25.00% (1 overall)
  • This Post (25.00%)
  • Knife Party (25.00%)
  • Rob Swire (25.00%)
  • Gareth McGrillen (25.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Knife Party ↗
Str: 9Inf: 1
Rob Swire ↗
Str: 4Inf: 1
Gareth McGrillen ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Gareth McGrillen ↗
Str: 4Inf: 1
Rob Swire ↗
Str: 4Inf: 1
Knife Party ↗
Str: 9Inf: 1

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

Outbound Tags (2)
Gareth McGrillen
Rob Swire
Inbound Posts (2)
Gareth McGrillen
Rob Swire
Last calculated: Sep 8, 9:09 AM
27

Related Content

No related content found.