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Faceshift
A Canorous Quintet
Seventh Wonder
This EndingPeter Nagy (3)Ted Jonsson (3)Stefan NorgrenPeter WendinTimo HovinenJohan Adler

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Connected Bands/Artists

  • A Canorous Quintet
  • Faceshift
    Faceshift band photo
  • Seventh Wonder
    Seventh Wonder band photo
  • This Ending

Connected Musicians

  • Johan Adler
  • Mika Kajanen
  • Peter Nagy (3)
  • Peter Wendin
  • Petri Tarvainen
  • Stefan Norgren
  • Ted Jonsson (3)
  • Timo Hovinen

Analyzing Network Connections...

Network Profile

Overall Strength
i
23.02% of network
(1.66T)
Strength Breakdown
  • This Post (23.02%)
  • This Ending (23.02%)
  • Seventh Wonder (17.63%)
  • Faceshift (12.95%)
  • A Canorous Quintet (8.99%)
  • Peter Nagy (3) (5.76%)
  • Stefan Norgren (3.24%)
  • Mika Kajanen (1.44%)
  • Petri Tarvainen (1.44%)
  • Timo Hovinen (1.44%)
  • Johan Adler (0.36%)
  • Peter Wendin (0.36%)
  • Ted Jonsson (3) (0.36%)
Influence Score
i
7.69% of network
(1)
Influence Breakdown
  • This Post (7.69%)
  • Johan Adler (7.69%)
  • Mika Kajanen (7.69%)
  • Peter Nagy (3) (7.69%)
  • Peter Wendin (7.69%)
  • Petri Tarvainen (7.69%)
  • Stefan Norgren (7.69%)
  • Ted Jonsson (3) (7.69%)
  • Timo Hovinen (7.69%)
  • Faceshift (7.69%)
  • A Canorous Quintet (7.69%)
  • This Ending (7.69%)
  • Seventh Wonder (7.69%)
Direct Connections 16

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, 8) = 8
$outbound = max(1, 8) = 8

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1

// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 64 *
                           ( 1 [Johan Adler] *
                            4 [Mika Kajanen] *
                            16 [Peter Nagy (3)] *
                            1 [Peter Wendin] *
                            4 [Petri Tarvainen] *
                            9 [Stefan Norgren] *
                            1 [Ted Jonsson (3)] *
                            4 [Timo Hovinen] *
                            36 [Faceshift] *
                            25 [A Canorous Quintet] *
                            64 [This Ending] *
                            49 [Seventh Wonder]
                           )

                         = 1.66T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Johan Adler] *
                            1 [Mika Kajanen] *
                            1 [Peter Nagy (3)] *
                            1 [Peter Wendin] *
                            1 [Petri Tarvainen] *
                            1 [Stefan Norgren] *
                            1 [Ted Jonsson (3)] *
                            1 [Timo Hovinen] *
                            1 [Faceshift] *
                            1 [A Canorous Quintet] *
                            1 [This Ending] *
                            1 [Seventh Wonder]
                           )

                         = 1
Outbound 8 Tags on post
Inbound 8 Posts tagging this
Connections 12 Total nodes
Base Node Strength 64
Base Node Influence 1
Strength Share (vs Direct Neighbours)
23.02% (1.66T overall)
  • This Post (23.02%)
  • This Ending (23.02%)
  • Seventh Wonder (17.63%)
  • Faceshift (12.95%)
  • A Canorous Quintet (8.99%)
  • Peter Nagy (3) (5.76%)
  • Stefan Norgren (3.24%)
  • Mika Kajanen (1.44%)
  • Petri Tarvainen (1.44%)
  • Timo Hovinen (1.44%)
  • Johan Adler (0.36%)
  • Peter Wendin (0.36%)
  • Ted Jonsson (3) (0.36%)
Influence Share (vs Direct Neighbours)
7.69% (1 overall)
  • This Post (7.69%)
  • Johan Adler (7.69%)
  • Mika Kajanen (7.69%)
  • Peter Nagy (3) (7.69%)
  • Peter Wendin (7.69%)
  • Petri Tarvainen (7.69%)
  • Stefan Norgren (7.69%)
  • Ted Jonsson (3) (7.69%)
  • Timo Hovinen (7.69%)
  • Faceshift (7.69%)
  • A Canorous Quintet (7.69%)
  • This Ending (7.69%)
  • Seventh Wonder (7.69%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Johan Adler ↗
Str: 1Inf: 1
Mika Kajanen ↗
Str: 4Inf: 1
Peter Nagy (3) ↗
Str: 16Inf: 1
Peter Wendin ↗
Str: 1Inf: 1
Petri Tarvainen ↗
Str: 4Inf: 1
Stefan Norgren ↗
Str: 9Inf: 1
Ted Jonsson (3) ↗
Str: 1Inf: 1
Timo Hovinen ↗
Str: 4Inf: 1
Faceshift ↗
Str: 36Inf: 1
A Canorous Quintet ↗
Str: 25Inf: 1
This Ending ↗
Str: 64Inf: 1
Seventh Wonder ↗
Str: 49Inf: 1
Weakest Connections (Lowest Multipliers)
Seventh Wonder ↗
Str: 49Inf: 1
This Ending ↗
Str: 64Inf: 1
A Canorous Quintet ↗
Str: 25Inf: 1
Faceshift ↗
Str: 36Inf: 1
Timo Hovinen ↗
Str: 4Inf: 1
Ted Jonsson (3) ↗
Str: 1Inf: 1
Stefan Norgren ↗
Str: 9Inf: 1
Petri Tarvainen ↗
Str: 4Inf: 1
Peter Wendin ↗
Str: 1Inf: 1
Peter Nagy (3) ↗
Str: 16Inf: 1
Mika Kajanen ↗
Str: 4Inf: 1
Johan Adler ↗
Str: 1Inf: 1

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

Outbound Tags (8)
Johan Adler
Mika Kajanen
Peter Nagy (3)
Peter Wendin
Petri Tarvainen
Stefan Norgren
Ted Jonsson (3)
Timo Hovinen
Inbound Posts (8)
Johan Adler
Mika Kajanen
Peter Nagy (3)
Peter Wendin
Petri Tarvainen
Stefan Norgren
Ted Jonsson (3)
Timo Hovinen
Last calculated: Jun 24, 2:01 PM
49

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