Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

NaglfarMattias HolmgrenRille SvenssonDaniel Andersson (2)Rikard LarssonBartosz NalezinskiJoakim Olsson (2)Jocke Unger

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 5 hours ago
Comments: 0

Eileen Lally
Last login: 2 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: 1 month ago
Comments: 0

Seán Millar
Last login: 1 month ago
Comments: 0

Supreme Majesty

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

  • Joakim Olsson (2)
  • Naglfar

Connected Musicians

  • Bartosz Nalezinski
  • Daniel Andersson (2)
  • Jocke Unger
  • Mattias Holmgren
  • Rikard Larsson
  • Rille Svensson

Analyzing Network Connections...

Network Profile

Overall Strength
i
39.84% of network
(12.5K)
Strength Breakdown
  • This Post (39.84%)
  • Mattias Holmgren (3.25%)
  • Bartosz Nalezinski (0.81%)
  • Daniel Andersson (2) (0.81%)
  • Joakim Olsson (2) (0.81%)
  • Jocke Unger (0.81%)
  • Rikard Larsson (0.81%)
  • Rille Svensson (0.81%)
Dominant nodes (excluded from chart)
Naglfar 52.03%
Influence Score
i
11.11% of network
(1)
Influence Breakdown
  • This Post (11.11%)
  • Mattias Holmgren (11.11%)
  • Bartosz Nalezinski (11.11%)
  • Daniel Andersson (2) (11.11%)
  • Joakim Olsson (2) (11.11%)
  • Jocke Unger (11.11%)
  • Rikard Larsson (11.11%)
  • Rille Svensson (11.11%)
  • Naglfar (11.11%)
Direct Connections 14

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, 7) = 7
$outbound = max(1, 7) = 7

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1

// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 49 *
                           ( 4 [Mattias Holmgren] *
                            1 [Bartosz Nalezinski] *
                            1 [Daniel Andersson (2)] *
                            1 [Joakim Olsson (2)] *
                            1 [Jocke Unger] *
                            1 [Rikard Larsson] *
                            1 [Rille Svensson] *
                            64 [Naglfar]
                           )

                         = 12.5K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Mattias Holmgren] *
                            1 [Bartosz Nalezinski] *
                            1 [Daniel Andersson (2)] *
                            1 [Joakim Olsson (2)] *
                            1 [Jocke Unger] *
                            1 [Rikard Larsson] *
                            1 [Rille Svensson] *
                            1 [Naglfar]
                           )

                         = 1
Outbound 7 Tags on post
Inbound 7 Posts tagging this
Connections 8 Total nodes
Base Node Strength 49
Base Node Influence 1
Strength Share (vs Direct Neighbours)
39.84% (12.5K overall)
  • This Post (39.84%)
  • Mattias Holmgren (3.25%)
  • Bartosz Nalezinski (0.81%)
  • Daniel Andersson (2) (0.81%)
  • Joakim Olsson (2) (0.81%)
  • Jocke Unger (0.81%)
  • Rikard Larsson (0.81%)
  • Rille Svensson (0.81%)
Dominant nodes (excluded from chart)
Naglfar 52.03%
Influence Share (vs Direct Neighbours)
11.11% (1 overall)
  • This Post (11.11%)
  • Mattias Holmgren (11.11%)
  • Bartosz Nalezinski (11.11%)
  • Daniel Andersson (2) (11.11%)
  • Joakim Olsson (2) (11.11%)
  • Jocke Unger (11.11%)
  • Rikard Larsson (11.11%)
  • Rille Svensson (11.11%)
  • Naglfar (11.11%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Mattias Holmgren ↗
Str: 4Inf: 1
Bartosz Nalezinski ↗
Str: 1Inf: 1
Daniel Andersson (2) ↗
Str: 1Inf: 1
Joakim Olsson (2) ↗
Str: 1Inf: 1
Jocke Unger ↗
Str: 1Inf: 1
Rikard Larsson ↗
Str: 1Inf: 1
Rille Svensson ↗
Str: 1Inf: 1
Naglfar ↗
Str: 64Inf: 1
Weakest Connections (Lowest Multipliers)
Naglfar ↗
Str: 64Inf: 1
Rille Svensson ↗
Str: 1Inf: 1
Rikard Larsson ↗
Str: 1Inf: 1
Jocke Unger ↗
Str: 1Inf: 1
Joakim Olsson (2) ↗
Str: 1Inf: 1
Daniel Andersson (2) ↗
Str: 1Inf: 1
Bartosz Nalezinski ↗
Str: 1Inf: 1
Mattias Holmgren ↗
Str: 4Inf: 1

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

Outbound Tags (7)
Bartosz Nalezinski
Daniel Andersson (2)
Joakim Olsson (2)
Jocke Unger
Mattias Holmgren
Rikard Larsson
Rille Svensson
Inbound Posts (7)
Mattias Holmgren
Bartosz Nalezinski
Daniel Andersson (2)
Joakim Olsson (2)
Jocke Unger
Rikard Larsson
Rille Svensson
Last calculated: Jun 21, 9:19 PM
27

Related Content

No related content found.