Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Maggie Björklund
JodeladiesDarleensMerete DithmerMerete MongstadMinna GroossMarianne Van ToornburgSisse Selina LarsenHenrik Vesterlà ̧kke

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 52 minutes ago
Comments: 0

Eileen Lally
Last login: 3 weeks ago
Comments: 0

Özkan Konu
Last login: 1 month ago
Comments: 0

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

Kevin Greene
Last login: 2 months ago
Comments: 0

Seán Millar
Last login: 2 months ago
Comments: 0

Emma Engberg

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

  • Darleens
  • Jodeladies

Connected Musicians

  • Henrik Vesterlà ̧kke
  • Maggie Björklund
    Maggie Björklund band photo
  • Marianne Van Toornburg
  • Merete Dithmer
  • Merete Mongstad
  • Minna Grooss
  • Sisse Selina Larsen

Analyzing Network Connections...

Network Profile

Overall Strength
i
4.21% of network
(82.9K)
Strength Breakdown
  • This Post (4.21%)
  • Maggie Björklund (9.47%)
  • Darleens (9.47%)
  • Sisse Selina Larsen (4.21%)
  • Marianne Van Toornburg (1.05%)
  • Merete Dithmer (1.05%)
  • Merete Mongstad (1.05%)
  • Minna Grooss (1.05%)
  • Henrik Vesterlà ̧kke (1.05%)
Dominant nodes (excluded from chart)
Jodeladies 67.37%
Influence Score
i
10.00% of network
(1)
Influence Breakdown
  • This Post (10.00%)
  • Maggie Björklund (10.00%)
  • Darleens (10.00%)
  • Sisse Selina Larsen (10.00%)
  • Jodeladies (10.00%)
  • Marianne Van Toornburg (10.00%)
  • Merete Dithmer (10.00%)
  • Merete Mongstad (10.00%)
  • Minna Grooss (10.00%)
  • Henrik Vesterlà ̧kke (10.00%)
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 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 9 [Maggie Björklund] *
                            9 [Darleens] *
                            4 [Sisse Selina Larsen] *
                            64 [Jodeladies] *
                            1 [Marianne Van Toornburg] *
                            1 [Merete Dithmer] *
                            1 [Merete Mongstad] *
                            1 [Minna Grooss] *
                            1 [Henrik Vesterlà ̧kke]
                           )

                         = 82.9K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Maggie Björklund] *
                            1 [Darleens] *
                            1 [Sisse Selina Larsen] *
                            1 [Jodeladies] *
                            1 [Marianne Van Toornburg] *
                            1 [Merete Dithmer] *
                            1 [Merete Mongstad] *
                            1 [Minna Grooss] *
                            1 [Henrik Vesterlà ̧kke]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 9 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
4.21% (82.9K overall)
  • This Post (4.21%)
  • Maggie Björklund (9.47%)
  • Darleens (9.47%)
  • Sisse Selina Larsen (4.21%)
  • Marianne Van Toornburg (1.05%)
  • Merete Dithmer (1.05%)
  • Merete Mongstad (1.05%)
  • Minna Grooss (1.05%)
  • Henrik Vesterlà ̧kke (1.05%)
Dominant nodes (excluded from chart)
Jodeladies 67.37%
Influence Share (vs Direct Neighbours)
10.00% (1 overall)
  • This Post (10.00%)
  • Maggie Björklund (10.00%)
  • Darleens (10.00%)
  • Sisse Selina Larsen (10.00%)
  • Jodeladies (10.00%)
  • Marianne Van Toornburg (10.00%)
  • Merete Dithmer (10.00%)
  • Merete Mongstad (10.00%)
  • Minna Grooss (10.00%)
  • Henrik Vesterlà ̧kke (10.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Maggie Björklund ↗
Str: 9Inf: 1
Darleens ↗
Str: 9Inf: 1
Sisse Selina Larsen ↗
Str: 4Inf: 1
Jodeladies ↗
Str: 64Inf: 1
Marianne Van Toornburg ↗
Str: 1Inf: 1
Merete Dithmer ↗
Str: 1Inf: 1
Merete Mongstad ↗
Str: 1Inf: 1
Minna Grooss ↗
Str: 1Inf: 1
Henrik Vesterlà ̧kke ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Henrik Vesterlà ̧kke ↗
Str: 1Inf: 1
Minna Grooss ↗
Str: 1Inf: 1
Merete Mongstad ↗
Str: 1Inf: 1
Merete Dithmer ↗
Str: 1Inf: 1
Marianne Van Toornburg ↗
Str: 1Inf: 1
Jodeladies ↗
Str: 64Inf: 1
Sisse Selina Larsen ↗
Str: 4Inf: 1
Darleens ↗
Str: 9Inf: 1
Maggie Björklund ↗
Str: 9Inf: 1

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

Outbound Tags (2)
Darleens
Jodeladies
Inbound Posts (2)
Darleens
Jodeladies
Last calculated: Jun 28, 8:18 AM
16

Related Content

No related content found.