Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

James McCaffreyFrank PellegrinoRafael BáezErnest AbubaNew York UndercoverJosh HopkinsMichael MicheleJim MoodyFatima FaloyeLena Cardwell

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 13 hours ago
Comments: 0

Francesca Ladybird
Last login: 3 weeks ago
Comments: 0

Matthew Leech
Last login: 2 months ago
Comments: 1

Jessica
Last login: 2 months ago
Comments: 0

Darragh Lennon
Last login: 2 months ago
Comments: 0

Cathal Kennedy
Last login: 2 months ago
Comments: 0

Malik Yoba

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
1.67% of network
(32.92B)
Strength Breakdown
  • This Post (1.67%)
  • Ernest Abuba (1.67%)
  • Rafael Báez (1.67%)
  • Luna Lauren Velez (0.74%)
  • Josh Hopkins (0.74%)
  • Marisa Ryan (0.74%)
  • Patti D'Arbanville (0.74%)
  • Fatima Faloye (0.19%)
  • Frank Pellegrino (0.19%)
  • George Gore II (0.19%)
  • Jim Moody (0.19%)
  • Jonathan LaPaglia (0.19%)
  • Lee Wong (0.19%)
  • Michael DeLorenzo (0.19%)
  • Michael Michele (0.19%)
  • Jon M. McDonnell (0.19%)
  • Thomas Mikal Ford (0.19%)
  • Victor Colicchio (0.19%)
  • José Pérez (0.19%)
  • Cop Land (0.19%)
  • The Good Nurse (0.19%)
Dominant nodes (excluded from chart)
New York Undercover 81.82%James McCaffrey 4.64%Lena Cardwell 2.97%
Influence Score
i
4.17% of network
(1)
Influence Breakdown
  • This Post (4.17%)
  • Ernest Abuba (4.17%)
  • Rafael Báez (4.17%)
  • James McCaffrey (4.17%)
  • New York Undercover (4.17%)
  • Lena Cardwell (4.17%)
  • Luna Lauren Velez (4.17%)
  • Fatima Faloye (4.17%)
  • Frank Pellegrino (4.17%)
  • George Gore II (4.17%)
  • Jim Moody (4.17%)
  • Jonathan LaPaglia (4.17%)
  • Josh Hopkins (4.17%)
  • Lee Wong (4.17%)
  • Marisa Ryan (4.17%)
  • Michael DeLorenzo (4.17%)
  • Michael Michele (4.17%)
  • Jon M. McDonnell (4.17%)
  • Thomas Mikal Ford (4.17%)
  • Victor Colicchio (4.17%)
  • Patti D'Arbanville (4.17%)
  • José Pérez (4.17%)
  • Cop Land (4.17%)
  • The Good Nurse (4.17%)
Direct Connections 6

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, 3) = 3
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 9 [Ernest Abuba] *
                            9 [Rafael Báez] *
                            25 [James McCaffrey] *
                            441 [New York Undercover] *
                            16 [Lena Cardwell] *
                            4 [Luna Lauren Velez] *
                            1 [Fatima Faloye] *
                            1 [Frank Pellegrino] *
                            1 [George Gore II] *
                            1 [Jim Moody] *
                            1 [Jonathan LaPaglia] *
                            4 [Josh Hopkins] *
                            1 [Lee Wong] *
                            4 [Marisa Ryan] *
                            1 [Michael DeLorenzo] *
                            1 [Michael Michele] *
                            1 [Jon M. McDonnell] *
                            1 [Thomas Mikal Ford] *
                            1 [Victor Colicchio] *
                            4 [Patti D'Arbanville] *
                            1 [José Pérez] *
                            1 [Cop Land] *
                            1 [The Good Nurse]
                           )

                         = 32.92B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Ernest Abuba] *
                            1 [Rafael Báez] *
                            1 [James McCaffrey] *
                            1 [New York Undercover] *
                            1 [Lena Cardwell] *
                            1 [Luna Lauren Velez] *
                            1 [Fatima Faloye] *
                            1 [Frank Pellegrino] *
                            1 [George Gore II] *
                            1 [Jim Moody] *
                            1 [Jonathan LaPaglia] *
                            1 [Josh Hopkins] *
                            1 [Lee Wong] *
                            1 [Marisa Ryan] *
                            1 [Michael DeLorenzo] *
                            1 [Michael Michele] *
                            1 [Jon M. McDonnell] *
                            1 [Thomas Mikal Ford] *
                            1 [Victor Colicchio] *
                            1 [Patti D'Arbanville] *
                            1 [José Pérez] *
                            1 [Cop Land] *
                            1 [The Good Nurse]
                           )

                         = 1
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 23 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.67% (32.92B overall)
  • This Post (1.67%)
  • Ernest Abuba (1.67%)
  • Rafael Báez (1.67%)
  • Luna Lauren Velez (0.74%)
  • Josh Hopkins (0.74%)
  • Marisa Ryan (0.74%)
  • Patti D'Arbanville (0.74%)
  • Fatima Faloye (0.19%)
  • Frank Pellegrino (0.19%)
  • George Gore II (0.19%)
  • Jim Moody (0.19%)
  • Jonathan LaPaglia (0.19%)
  • Lee Wong (0.19%)
  • Michael DeLorenzo (0.19%)
  • Michael Michele (0.19%)
  • Jon M. McDonnell (0.19%)
  • Thomas Mikal Ford (0.19%)
  • Victor Colicchio (0.19%)
  • José Pérez (0.19%)
  • Cop Land (0.19%)
  • The Good Nurse (0.19%)
Dominant nodes (excluded from chart)
New York Undercover 81.82%James McCaffrey 4.64%Lena Cardwell 2.97%
Influence Share (vs Direct Neighbours)
4.17% (1 overall)
  • This Post (4.17%)
  • Ernest Abuba (4.17%)
  • Rafael Báez (4.17%)
  • James McCaffrey (4.17%)
  • New York Undercover (4.17%)
  • Lena Cardwell (4.17%)
  • Luna Lauren Velez (4.17%)
  • Fatima Faloye (4.17%)
  • Frank Pellegrino (4.17%)
  • George Gore II (4.17%)
  • Jim Moody (4.17%)
  • Jonathan LaPaglia (4.17%)
  • Josh Hopkins (4.17%)
  • Lee Wong (4.17%)
  • Marisa Ryan (4.17%)
  • Michael DeLorenzo (4.17%)
  • Michael Michele (4.17%)
  • Jon M. McDonnell (4.17%)
  • Thomas Mikal Ford (4.17%)
  • Victor Colicchio (4.17%)
  • Patti D'Arbanville (4.17%)
  • José Pérez (4.17%)
  • Cop Land (4.17%)
  • The Good Nurse (4.17%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Ernest Abuba ↗
Str: 9Inf: 1
Rafael Báez ↗
Str: 9Inf: 1
James McCaffrey ↗
Str: 25Inf: 1
New York Undercover ↗
Str: 441Inf: 1
Lena Cardwell ↗
Str: 16Inf: 1
Luna Lauren Velez ↗
Str: 4Inf: 1
Fatima Faloye ↗
Str: 1Inf: 1
Frank Pellegrino ↗
Str: 1Inf: 1
George Gore II ↗
Str: 1Inf: 1
Jim Moody ↗
Str: 1Inf: 1
Jonathan LaPaglia ↗
Str: 1Inf: 1
Josh Hopkins ↗
Str: 4Inf: 1
Lee Wong ↗
Str: 1Inf: 1
Marisa Ryan ↗
Str: 4Inf: 1
Michael DeLorenzo ↗
Str: 1Inf: 1
Michael Michele ↗
Str: 1Inf: 1
Jon M. McDonnell ↗
Str: 1Inf: 1
Thomas Mikal Ford ↗
Str: 1Inf: 1
Victor Colicchio ↗
Str: 1Inf: 1
Patti D'Arbanville ↗
Str: 4Inf: 1
José Pérez ↗
Str: 1Inf: 1
Cop Land ↗
Str: 1Inf: 1
The Good Nurse ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
The Good Nurse ↗
Str: 1Inf: 1
Cop Land ↗
Str: 1Inf: 1
José Pérez ↗
Str: 1Inf: 1
Patti D'Arbanville ↗
Str: 4Inf: 1
Victor Colicchio ↗
Str: 1Inf: 1
Thomas Mikal Ford ↗
Str: 1Inf: 1
Jon M. McDonnell ↗
Str: 1Inf: 1
Michael Michele ↗
Str: 1Inf: 1
Michael DeLorenzo ↗
Str: 1Inf: 1
Marisa Ryan ↗
Str: 4Inf: 1
Lee Wong ↗
Str: 1Inf: 1
Josh Hopkins ↗
Str: 4Inf: 1
Jonathan LaPaglia ↗
Str: 1Inf: 1
Jim Moody ↗
Str: 1Inf: 1
George Gore II ↗
Str: 1Inf: 1
Frank Pellegrino ↗
Str: 1Inf: 1
Fatima Faloye ↗
Str: 1Inf: 1
Luna Lauren Velez ↗
Str: 4Inf: 1
Lena Cardwell ↗
Str: 16Inf: 1
New York Undercover ↗
Str: 441Inf: 1
James McCaffrey ↗
Str: 25Inf: 1
Rafael Báez ↗
Str: 9Inf: 1
Ernest Abuba ↗
Str: 9Inf: 1

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

Outbound Tags (3)
Cop Land
New York Undercover
The Good Nurse
Inbound Posts (3)
New York Undercover
Cop Land
The Good Nurse
Last calculated: Sep 23, 11:32 PM
28

Related Content

Actors

  • Ernest Abuba
  • George Gore II
  • Rafael Báez
  • Jim Moody
  • James McCaffrey
  • Jonathan LaPaglia
  • Josh Hopkins
  • Patti D'Arbanville
  • Lena Cardwell
  • Lee Wong
  • José Pérez
  • Luna Lauren Velez
  • Marisa Ryan
  • Fatima Faloye
  • Michael DeLorenzo
  • Frank Pellegrino
  • Michael Michele

Films

  • Jon M. McDonnell
  • Thomas Mikal Ford
  • Victor Colicchio
  • New York Undercover
  • Cop Land
  • The Good Nurse