Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Trae RomanoLars van Mourik

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 1 day ago
Comments: 0

Eileen Lally
Last login: 1 week ago
Comments: 0

Özkan Konu
Last login: 4 weeks ago
Comments: 0

Anne Marie Bevan
Last login: 1 month ago
Comments: 0

Kevin Greene
Last login: 1 month ago
Comments: 0

Seán Millar
Last login: 1 month ago
Comments: 0

Xeno

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 Musicians

  • Lars van Mourik

Analyzing Network Connections...

Network Profile

Overall Strength
i
13.33% of network
(24)
Strength Breakdown
  • This Post (13.33%)
  • Trae Romano (80.00%)
  • Lars van Mourik (6.67%)
Influence Score
i
17.65% of network
(0.6667)
Influence Breakdown
  • This Post (17.65%)
  • Trae Romano (47.06%)
  • Lars van Mourik (35.29%)
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 2 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 12 [Trae Romano] *
                            1 [Lars van Mourik]
                           )

                         = 24

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 0.5 *
                           ( 1.33 [Trae Romano] *
                            1 [Lars van Mourik]
                           )

                         = 0.6667
Outbound 1 Tags on post
Inbound 2 Posts tagging this
Connections 2 Total nodes
Base Node Strength 2
Base Node Influence 0.5
Strength Share (vs Direct Neighbours)
13.33% (24 overall)
  • This Post (13.33%)
  • Trae Romano (80.00%)
  • Lars van Mourik (6.67%)
Influence Share (vs Direct Neighbours)
17.65% (0.6667 overall)
  • This Post (17.65%)
  • Trae Romano (47.06%)
  • Lars van Mourik (35.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Trae Romano ↗
Str: 12Inf: 1.33
Lars van Mourik ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Lars van Mourik ↗
Str: 1Inf: 1
Trae Romano ↗
Str: 12Inf: 1.33

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

Outbound Tags (1)
Lars van Mourik
Inbound Posts (2)
Lars van Mourik
Trae Romano
BROKEN LINK
Last calculated: Jun 16, 9:41 PM
10

Related Content

Actors

  • Trae Romano