Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

ryan tubridy
Seán Lemass
Sean Lemass

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 1 day ago
Comments: 0

Darragh Lennon
Last login: 2 days ago
Comments: 0

Cathal Kennedy
Last login: 1 week ago
Comments: 0

jacierlogyn
Last login: 3 weeks ago
Comments: 0

Eileen Lally
Last login: 2 months ago
Comments: 0

Özkan Konu
Last login: 2 months ago
Comments: 0

todd andrews

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

Analyzing Network Connections...

Network Profile

Overall Strength
i
2.60% of network
(2.4K)
Strength Breakdown
  • This Post (2.60%)
  • Sean Lemass (7.79%)
  • Seán Lemass (3.90%)
Dominant nodes (excluded from chart)
ryan tubridy 85.71%
Influence Score
i
8.33% of network
(1.83)
Influence Breakdown
  • This Post (8.33%)
  • Seán Lemass (50.00%)
  • ryan tubridy (30.56%)
  • Sean Lemass (11.11%)
Direct Connections 3

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, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 2 = 2
Base_Influence (IV) = $inbound / $outbound = 1 / 2 = 0.5

// 3. Exponential Network Values (accumulating 3 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 3 [Seán Lemass] *
                            66 [ryan tubridy] *
                            6 [Sean Lemass]
                           )

                         = 2.4K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 0.5 *
                           ( 3 [Seán Lemass] *
                            1.83 [ryan tubridy] *
                            0.6667 [Sean Lemass]
                           )

                         = 1.83
Outbound 1 Tags on post
Inbound 2 Posts tagging this
Connections 3 Total nodes
Base Node Strength 2
Base Node Influence 0.5
Strength Share (vs Direct Neighbours)
2.60% (2.4K overall)
  • This Post (2.60%)
  • Sean Lemass (7.79%)
  • Seán Lemass (3.90%)
Dominant nodes (excluded from chart)
ryan tubridy 85.71%
Influence Share (vs Direct Neighbours)
8.33% (1.83 overall)
  • This Post (8.33%)
  • Seán Lemass (50.00%)
  • ryan tubridy (30.56%)
  • Sean Lemass (11.11%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Seán Lemass ↗
Str: 3Inf: 3
ryan tubridy ↗
Str: 66Inf: 1.83
Sean Lemass ↗
Str: 6Inf: 0.6667
Weakest Connections (Lowest Multipliers)
Sean Lemass ↗
Str: 6Inf: 0.6667
ryan tubridy ↗
Str: 66Inf: 1.83
Seán Lemass ↗
Str: 3Inf: 3

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

Outbound Tags (1)
sean lemass
Inbound Posts (2)
Sean Lemass
Seán Lemass
BROKEN LINK
Last calculated: Jul 23, 4:13 PM
62

Related Content

Figures

  • ryan tubridy
  • Sean Lemass
  • Seán Lemass