Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Random EyesChristian Palin
Rolf PilveSamuel HoiskoTimo PeltokangasMikko Tuliniemi

Recent Logins

View Members Directory

Eileen Lally
Last login: 2 days ago
Comments: 0

Tadhg Kelleher
Last login: 6 days ago
Comments: 0

Özkan Konu
Last login: 3 weeks ago
Comments: 0

Anne Marie Bevan
Last login: 3 weeks ago
Comments: 0

Kevin Greene
Last login: 4 weeks ago
Comments: 0

Seán Millar
Last login: 4 weeks ago
Comments: 0

Voitto Rintala

Join the conversation

💬 Know something?

Sign in to leave a note, add a photo, or make a connection.

Continue with Google Continue with Facebook
Loading Graph...
Press Spacebar to toggle layout

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

  • Random Eyes

Connected Musicians

  • Christian Palin
  • Mikko Tuliniemi
  • Rolf Pilve
    Rolf Pilve band photo
  • Samuel Hoisko
  • Timo Peltokangas

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.32% of network
(147.5K)
Strength Breakdown
  • This Post (0.32%)
  • Random Eyes (11.54%)
  • Christian Palin (5.13%)
  • Mikko Tuliniemi (0.32%)
  • Samuel Hoisko (0.32%)
  • Timo Peltokangas (0.32%)
Dominant nodes (excluded from chart)
Rolf Pilve 82.05%
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Rolf Pilve (14.29%)
  • Christian Palin (14.29%)
  • Random Eyes (14.29%)
  • Mikko Tuliniemi (14.29%)
  • Samuel Hoisko (14.29%)
  • Timo Peltokangas (14.29%)
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 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 256 [Rolf Pilve] *
                            16 [Christian Palin] *
                            36 [Random Eyes] *
                            1 [Mikko Tuliniemi] *
                            1 [Samuel Hoisko] *
                            1 [Timo Peltokangas]
                           )
                         = 147.5K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Rolf Pilve] *
                            1 [Christian Palin] *
                            1 [Random Eyes] *
                            1 [Mikko Tuliniemi] *
                            1 [Samuel Hoisko] *
                            1 [Timo Peltokangas]
                           )
                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 6 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.32% (147.5K overall)
  • This Post (0.32%)
  • Random Eyes (11.54%)
  • Christian Palin (5.13%)
  • Mikko Tuliniemi (0.32%)
  • Samuel Hoisko (0.32%)
  • Timo Peltokangas (0.32%)
Dominant nodes (excluded from chart)
Rolf Pilve 82.05%
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Rolf Pilve (14.29%)
  • Christian Palin (14.29%)
  • Random Eyes (14.29%)
  • Mikko Tuliniemi (14.29%)
  • Samuel Hoisko (14.29%)
  • Timo Peltokangas (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Rolf Pilve ↗
Str: 256Inf: 1
Christian Palin ↗
Str: 16Inf: 1
Random Eyes ↗
Str: 36Inf: 1
Mikko Tuliniemi ↗
Str: 1Inf: 1
Samuel Hoisko ↗
Str: 1Inf: 1
Timo Peltokangas ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Timo Peltokangas ↗
Str: 1Inf: 1
Samuel Hoisko ↗
Str: 1Inf: 1
Mikko Tuliniemi ↗
Str: 1Inf: 1
Random Eyes ↗
Str: 36Inf: 1
Christian Palin ↗
Str: 16Inf: 1
Rolf Pilve ↗
Str: 256Inf: 1

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

Outbound Tags (1)
Random Eyes
Inbound Posts (1)
Random Eyes
Last calculated: Jun 8, 8:09 PM
40

Related Content

No related content found.