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Janne Manninen (2)Pyry Hanski
Kai Jaakkola
Kauko KuusisaloMika AaltoTommi KonuSami LatvaAntti SimonenTeemu Saari (2)Jani Martikkala

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Connected Bands/Artists

  • …And Oceans
  • Deathbound

Connected Musicians

  • Antti Simonen
  • Anzhaar
  • Jani Martikkala
  • Janne Manninen (2)
  • Kai Jaakkola
    Kai Jaakkola band photo
  • Kauko Kuusisalo
  • Kena Strömsholm
  • Mika Aalto
  • Mikael Sandorf
  • Nicklas Sundqvist
  • Patrik Sundkvist
  • Pyry Hanski
  • Robert Sundelin (2)
  • Sami Latva
  • Teemu Saari (2)
  • Timo Kontio
    Timo Kontio band photo
  • Tommi Konu
  • Toni Pihlaja

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.13% of network
(4.17 × 1019)
Strength Breakdown
  • This Post (1.13%)
  • Pyry Hanski (22.88%)
  • Kai Jaakkola (7.06%)
  • Mika Aalto (4.52%)
  • Mikael Sandorf (4.52%)
  • Sami Latva (4.52%)
  • Janne Manninen (2) (4.52%)
  • ...And Oceans (3.67%)
  • Tommi Konu (2.54%)
  • Jani Martikkala (2.54%)
  • Timo Kontio (2.54%)
  • Antti Simonen (2.54%)
  • Kena Strömsholm (2.54%)
  • Toni Pihlaja (1.13%)
  • Patrik Sundkvist (1.13%)
  • Robert Sundelin (2) (1.13%)
  • Kauko Kuusisalo (1.13%)
  • Teemu Saari (2) (1.13%)
  • Nicklas Sundqvist (0.28%)
  • Anzhaar (0.28%)
Dominant nodes (excluded from chart)
Deathbound 28.25%
Influence Score
i
3.03% of network
(13)
Influence Breakdown
  • This Post (3.03%)
  • Deathbound (3.03%)
  • Mika Aalto (3.03%)
  • Kai Jaakkola (3.03%)
  • Mikael Sandorf (3.03%)
  • Sami Latva (3.03%)
  • Toni Pihlaja (3.03%)
  • Tommi Konu (3.03%)
  • Patrik Sundkvist (3.03%)
  • Robert Sundelin (2) (3.03%)
  • Nicklas Sundqvist (3.03%)
  • Pyry Hanski (3.03%)
  • Kauko Kuusisalo (3.03%)
  • Jani Martikkala (3.03%)
  • Janne Manninen (2) (3.03%)
  • Timo Kontio (3.03%)
  • Antti Simonen (3.03%)
  • Teemu Saari (2) (3.03%)
  • Anzhaar (3.03%)
  • Kena Strömsholm (3.03%)
Dominant nodes (excluded from chart)
...And Oceans 39.39%
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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 13 [...And Oceans] *
                            100 [Deathbound] *
                            16 [Mika Aalto] *
                            25 [Kai Jaakkola] *
                            16 [Mikael Sandorf] *
                            16 [Sami Latva] *
                            4 [Toni Pihlaja] *
                            9 [Tommi Konu] *
                            4 [Patrik Sundkvist] *
                            4 [Robert Sundelin (2)] *
                            1 [Nicklas Sundqvist] *
                            81 [Pyry Hanski] *
                            4 [Kauko Kuusisalo] *
                            9 [Jani Martikkala] *
                            16 [Janne Manninen (2)] *
                            9 [Timo Kontio] *
                            9 [Antti Simonen] *
                            4 [Teemu Saari (2)] *
                            1 [Anzhaar] *
                            9 [Kena Strömsholm]
                           )

                         = 4.17 x 10^19

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 13 [...And Oceans] *
                            1 [Deathbound] *
                            1 [Mika Aalto] *
                            1 [Kai Jaakkola] *
                            1 [Mikael Sandorf] *
                            1 [Sami Latva] *
                            1 [Toni Pihlaja] *
                            1 [Tommi Konu] *
                            1 [Patrik Sundkvist] *
                            1 [Robert Sundelin (2)] *
                            1 [Nicklas Sundqvist] *
                            1 [Pyry Hanski] *
                            1 [Kauko Kuusisalo] *
                            1 [Jani Martikkala] *
                            1 [Janne Manninen (2)] *
                            1 [Timo Kontio] *
                            1 [Antti Simonen] *
                            1 [Teemu Saari (2)] *
                            1 [Anzhaar] *
                            1 [Kena Strömsholm]
                           )

                         = 13
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 20 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.13% (4.17 × 1019 overall)
  • This Post (1.13%)
  • Pyry Hanski (22.88%)
  • Kai Jaakkola (7.06%)
  • Mika Aalto (4.52%)
  • Mikael Sandorf (4.52%)
  • Sami Latva (4.52%)
  • Janne Manninen (2) (4.52%)
  • ...And Oceans (3.67%)
  • Tommi Konu (2.54%)
  • Jani Martikkala (2.54%)
  • Timo Kontio (2.54%)
  • Antti Simonen (2.54%)
  • Kena Strömsholm (2.54%)
  • Toni Pihlaja (1.13%)
  • Patrik Sundkvist (1.13%)
  • Robert Sundelin (2) (1.13%)
  • Kauko Kuusisalo (1.13%)
  • Teemu Saari (2) (1.13%)
  • Nicklas Sundqvist (0.28%)
  • Anzhaar (0.28%)
Dominant nodes (excluded from chart)
Deathbound 28.25%
Influence Share (vs Direct Neighbours)
3.03% (13 overall)
  • This Post (3.03%)
  • Deathbound (3.03%)
  • Mika Aalto (3.03%)
  • Kai Jaakkola (3.03%)
  • Mikael Sandorf (3.03%)
  • Sami Latva (3.03%)
  • Toni Pihlaja (3.03%)
  • Tommi Konu (3.03%)
  • Patrik Sundkvist (3.03%)
  • Robert Sundelin (2) (3.03%)
  • Nicklas Sundqvist (3.03%)
  • Pyry Hanski (3.03%)
  • Kauko Kuusisalo (3.03%)
  • Jani Martikkala (3.03%)
  • Janne Manninen (2) (3.03%)
  • Timo Kontio (3.03%)
  • Antti Simonen (3.03%)
  • Teemu Saari (2) (3.03%)
  • Anzhaar (3.03%)
  • Kena Strömsholm (3.03%)
Dominant nodes (excluded from chart)
...And Oceans 39.39%

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
...And Oceans ↗
Str: 13Inf: 13
Deathbound ↗
Str: 100Inf: 1
Mika Aalto ↗
Str: 16Inf: 1
Kai Jaakkola ↗
Str: 25Inf: 1
Mikael Sandorf ↗
Str: 16Inf: 1
Sami Latva ↗
Str: 16Inf: 1
Toni Pihlaja ↗
Str: 4Inf: 1
Tommi Konu ↗
Str: 9Inf: 1
Patrik Sundkvist ↗
Str: 4Inf: 1
Robert Sundelin (2) ↗
Str: 4Inf: 1
Nicklas Sundqvist ↗
Str: 1Inf: 1
Pyry Hanski ↗
Str: 81Inf: 1
Kauko Kuusisalo ↗
Str: 4Inf: 1
Jani Martikkala ↗
Str: 9Inf: 1
Janne Manninen (2) ↗
Str: 16Inf: 1
Timo Kontio ↗
Str: 9Inf: 1
Antti Simonen ↗
Str: 9Inf: 1
Teemu Saari (2) ↗
Str: 4Inf: 1
Anzhaar ↗
Str: 1Inf: 1
Kena Strömsholm ↗
Str: 9Inf: 1
Weakest Connections (Lowest Multipliers)
Kena Strömsholm ↗
Str: 9Inf: 1
Anzhaar ↗
Str: 1Inf: 1
Teemu Saari (2) ↗
Str: 4Inf: 1
Antti Simonen ↗
Str: 9Inf: 1
Timo Kontio ↗
Str: 9Inf: 1
Janne Manninen (2) ↗
Str: 16Inf: 1
Jani Martikkala ↗
Str: 9Inf: 1
Kauko Kuusisalo ↗
Str: 4Inf: 1
Pyry Hanski ↗
Str: 81Inf: 1
Nicklas Sundqvist ↗
Str: 1Inf: 1
Robert Sundelin (2) ↗
Str: 4Inf: 1
Patrik Sundkvist ↗
Str: 4Inf: 1
Tommi Konu ↗
Str: 9Inf: 1
Toni Pihlaja ↗
Str: 4Inf: 1
Sami Latva ↗
Str: 16Inf: 1
Mikael Sandorf ↗
Str: 16Inf: 1
Kai Jaakkola ↗
Str: 25Inf: 1
Mika Aalto ↗
Str: 16Inf: 1
Deathbound ↗
Str: 100Inf: 1
...And Oceans ↗
Str: 13Inf: 13

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

Outbound Tags (2)
...And Oceans
Deathbound
Inbound Posts (2)
Deathbound
...And Oceans
Last calculated: Jul 29, 4:16 AM
32

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