Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Jesper Strömblad
Emma Gelotte
Björn Gelotte
Fredrik Johansson (9)
All Ends
Tinna KarlsdotterAnders Janfalk

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 1 day ago
Comments: 0

Francesca Ladybird
Last login: 2 weeks ago
Comments: 0

Matthew Leech
Last login: 1 month 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

Jonna Sailon

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

  • All Ends
    All Ends band photo

Connected Musicians

  • Anders Janfalk
  • Björn Gelotte
    Björn Gelotte band photo
  • Emma Gelotte
  • Fredrik Johansson (9)
  • Jesper Strömblad
    Jesper Strömblad band photo
  • Tinna Karlsdotter

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.60% of network
(176.4K)
Strength Breakdown
  • This Post (0.60%)
  • Björn Gelotte (5.42%)
  • Fredrik Johansson (9) (2.41%)
  • Anders Janfalk (0.60%)
  • Emma Gelotte (0.60%)
  • Tinna Karlsdotter (0.60%)
Dominant nodes (excluded from chart)
Jesper Strömblad 60.24%All Ends 29.52%
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Björn Gelotte (12.50%)
  • All Ends (12.50%)
  • Jesper Strömblad (12.50%)
  • Anders Janfalk (12.50%)
  • Emma Gelotte (12.50%)
  • Fredrik Johansson (9) (12.50%)
  • Tinna Karlsdotter (12.50%)
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 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 9 [Björn Gelotte] *
                            49 [All Ends] *
                            100 [Jesper Strömblad] *
                            1 [Anders Janfalk] *
                            1 [Emma Gelotte] *
                            4 [Fredrik Johansson (9)] *
                            1 [Tinna Karlsdotter]
                           )

                         = 176.4K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Björn Gelotte] *
                            1 [All Ends] *
                            1 [Jesper Strömblad] *
                            1 [Anders Janfalk] *
                            1 [Emma Gelotte] *
                            1 [Fredrik Johansson (9)] *
                            1 [Tinna Karlsdotter]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.60% (176.4K overall)
  • This Post (0.60%)
  • Björn Gelotte (5.42%)
  • Fredrik Johansson (9) (2.41%)
  • Anders Janfalk (0.60%)
  • Emma Gelotte (0.60%)
  • Tinna Karlsdotter (0.60%)
Dominant nodes (excluded from chart)
Jesper Strömblad 60.24%All Ends 29.52%
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Björn Gelotte (12.50%)
  • All Ends (12.50%)
  • Jesper Strömblad (12.50%)
  • Anders Janfalk (12.50%)
  • Emma Gelotte (12.50%)
  • Fredrik Johansson (9) (12.50%)
  • Tinna Karlsdotter (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Björn Gelotte ↗
Str: 9Inf: 1
All Ends ↗
Str: 49Inf: 1
Jesper Strömblad ↗
Str: 100Inf: 1
Anders Janfalk ↗
Str: 1Inf: 1
Emma Gelotte ↗
Str: 1Inf: 1
Fredrik Johansson (9) ↗
Str: 4Inf: 1
Tinna Karlsdotter ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Tinna Karlsdotter ↗
Str: 1Inf: 1
Fredrik Johansson (9) ↗
Str: 4Inf: 1
Emma Gelotte ↗
Str: 1Inf: 1
Anders Janfalk ↗
Str: 1Inf: 1
Jesper Strömblad ↗
Str: 100Inf: 1
All Ends ↗
Str: 49Inf: 1
Björn Gelotte ↗
Str: 9Inf: 1

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

Outbound Tags (1)
All Ends
Inbound Posts (1)
All Ends
Last calculated: Sep 16, 8:59 PM
38

Related Content

No related content found.