Skip to content

Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Henriëtte RonnerpleinWibaut op het H. Ronnerplein

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

Floor Wibaut

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

Related Images

Nederlandsch Instituut voor Efficiency

Analyzing Network Connections...

Network Profile

Overall Strength
i
7.14% of network
(36)
Strength Breakdown
  • This Post (7.14%)
  • Henriëtte Ronnerplein (64.29%)
  • Wibaut op het H. Ronnerplein (28.57%)
Influence Score
i
33.33% of network
(1)
Influence Breakdown
  • This Post (33.33%)
  • Wibaut op het H. Ronnerplein (33.33%)
  • Henriëtte Ronnerplein (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 *
                           ( 4 [Wibaut op het H. Ronnerplein] *
                            9 [Henriëtte Ronnerplein]
                           )

                         = 36

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Wibaut op het H. Ronnerplein] *
                            1 [Henriëtte Ronnerplein]
                           )

                         = 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)
7.14% (36 overall)
  • This Post (7.14%)
  • Henriëtte Ronnerplein (64.29%)
  • Wibaut op het H. Ronnerplein (28.57%)
Influence Share (vs Direct Neighbours)
33.33% (1 overall)
  • This Post (33.33%)
  • Wibaut op het H. Ronnerplein (33.33%)
  • Henriëtte Ronnerplein (33.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Wibaut op het H. Ronnerplein ↗
Str: 4Inf: 1
Henriëtte Ronnerplein ↗
Str: 9Inf: 1
Weakest Connections (Lowest Multipliers)
Henriëtte Ronnerplein ↗
Str: 9Inf: 1
Wibaut op het H. Ronnerplein ↗
Str: 4Inf: 1

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

Outbound Tags (1)
Wibaut op het H. Ronnerplein
Inbound Posts (1)
Wibaut op het H. Ronnerplein
Last calculated: Oct 9, 11:02 PM
18

Related Content

Topics

  • Wibaut op het H. Ronnerplein
  • Henriëtte Ronnerplein

A Muso community