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Mikko Härkin
The Few Against ManySolution .45
Rolf Pilve
Christian ÄlvestamChristian ÄlvestamPär Johansson (3)Jani StefanovicTom GardinerAnders Edlund

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Connected Bands/Artists

  • Solution .45
  • The Few Against Many

Connected Musicians

  • Anders Edlund
  • Christian Älvestam
  • Christian Älvestam
  • Jani Stefanovic
  • Mikko Härkin
    Mikko Härkin band photo
  • Pär Johansson (3)
  • Rolf Pilve
    Rolf Pilve band photo
  • Tom Gardiner

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.44% of network
(1.02 × 1017)
Strength Breakdown
  • This Post (0.44%)
  • Jani Stefanovic (28.41%)
  • Rolf Pilve (28.41%)
  • Christian Älvestam (18.76%)
  • Solution .45 (7.10%)
  • Mikko Härkin (7.10%)
  • Tom Gardiner (2.77%)
  • Christian Älvestam (2.77%)
  • The Few Against Many (2.77%)
  • Anders Edlund (1.00%)
  • Pär Johansson (3) (0.44%)
Influence Score
i
9.09% of network
(1)
Influence Breakdown
  • This Post (9.09%)
  • Solution .45 (9.09%)
  • Jani Stefanovic (9.09%)
  • Christian Älvestam (9.09%)
  • Anders Edlund (9.09%)
  • Tom Gardiner (9.09%)
  • Rolf Pilve (9.09%)
  • Mikko Härkin (9.09%)
  • Christian Älvestam (9.09%)
  • The Few Against Many (9.09%)
  • Pär Johansson (3) (9.09%)
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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 64 [Solution .45] *
                            256 [Jani Stefanovic] *
                            169 [Christian Älvestam] *
                            9 [Anders Edlund] *
                            25 [Tom Gardiner] *
                            256 [Rolf Pilve] *
                            64 [Mikko Härkin] *
                            25 [Christian Älvestam] *
                            25 [The Few Against Many] *
                            4 [Pär Johansson (3)]
                           )

                         = 1.02 x 10^17

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Solution .45] *
                            1 [Jani Stefanovic] *
                            1 [Christian Älvestam] *
                            1 [Anders Edlund] *
                            1 [Tom Gardiner] *
                            1 [Rolf Pilve] *
                            1 [Mikko Härkin] *
                            1 [Christian Älvestam] *
                            1 [The Few Against Many] *
                            1 [Pär Johansson (3)]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 10 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.44% (1.02 × 1017 overall)
  • This Post (0.44%)
  • Jani Stefanovic (28.41%)
  • Rolf Pilve (28.41%)
  • Christian Älvestam (18.76%)
  • Solution .45 (7.10%)
  • Mikko Härkin (7.10%)
  • Tom Gardiner (2.77%)
  • Christian Älvestam (2.77%)
  • The Few Against Many (2.77%)
  • Anders Edlund (1.00%)
  • Pär Johansson (3) (0.44%)
Influence Share (vs Direct Neighbours)
9.09% (1 overall)
  • This Post (9.09%)
  • Solution .45 (9.09%)
  • Jani Stefanovic (9.09%)
  • Christian Älvestam (9.09%)
  • Anders Edlund (9.09%)
  • Tom Gardiner (9.09%)
  • Rolf Pilve (9.09%)
  • Mikko Härkin (9.09%)
  • Christian Älvestam (9.09%)
  • The Few Against Many (9.09%)
  • Pär Johansson (3) (9.09%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Solution .45 ↗
Str: 64Inf: 1
Jani Stefanovic ↗
Str: 256Inf: 1
Christian Älvestam ↗
Str: 169Inf: 1
Anders Edlund ↗
Str: 9Inf: 1
Tom Gardiner ↗
Str: 25Inf: 1
Rolf Pilve ↗
Str: 256Inf: 1
Mikko Härkin ↗
Str: 64Inf: 1
Christian Älvestam ↗
Str: 25Inf: 1
The Few Against Many ↗
Str: 25Inf: 1
Pär Johansson (3) ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Pär Johansson (3) ↗
Str: 4Inf: 1
The Few Against Many ↗
Str: 25Inf: 1
Christian Älvestam ↗
Str: 25Inf: 1
Mikko Härkin ↗
Str: 64Inf: 1
Rolf Pilve ↗
Str: 256Inf: 1
Tom Gardiner ↗
Str: 25Inf: 1
Anders Edlund ↗
Str: 9Inf: 1
Christian Älvestam ↗
Str: 169Inf: 1
Jani Stefanovic ↗
Str: 256Inf: 1
Solution .45 ↗
Str: 64Inf: 1

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

Outbound Tags (2)
Solution .45
The Few Against Many
Inbound Posts (2)
Solution .45
The Few Against Many
Last calculated: Jul 2, 5:43 AM
27

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