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Pete WiedmerCyril MontavonThomas Muster (2)Roger Tanner
Shakra
Roger Tanner (2)Oliver LinderMarkus Fuchs (2)John PrakeshDominik Pfister

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Thomas Muster

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Connected Bands/Artists

  • Shakra
    Shakra band photo

Connected Musicians

  • Cyril Montavon
  • Dominik Pfister
  • John Prakesh
  • Markus Fuchs (2)
  • Oliver Linder
  • Pete Wiedmer
  • Roger Tanner
  • Roger Tanner (2)
  • Thom Blunier
  • Thomas Muster (2)

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.74% of network
(484)
Strength Breakdown
  • This Post (0.74%)
  • Roger Tanner (2) (2.96%)
  • Dominik Pfister (0.74%)
  • John Prakesh (0.74%)
  • Roger Tanner (0.74%)
  • Thom Blunier (0.74%)
  • Cyril Montavon (0.74%)
  • Markus Fuchs (2) (0.74%)
  • Oliver Linder (0.74%)
  • Pete Wiedmer (0.74%)
  • Thomas Muster (2) (0.74%)
Dominant nodes (excluded from chart)
Shakra 89.63%
Influence Score
i
8.33% of network
(1)
Influence Breakdown
  • This Post (8.33%)
  • Shakra (8.33%)
  • Dominik Pfister (8.33%)
  • John Prakesh (8.33%)
  • Roger Tanner (8.33%)
  • Thom Blunier (8.33%)
  • Cyril Montavon (8.33%)
  • Markus Fuchs (2) (8.33%)
  • Oliver Linder (8.33%)
  • Pete Wiedmer (8.33%)
  • Roger Tanner (2) (8.33%)
  • Thomas Muster (2) (8.33%)
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 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 121 [Shakra] *
                            1 [Dominik Pfister] *
                            1 [John Prakesh] *
                            1 [Roger Tanner] *
                            1 [Thom Blunier] *
                            1 [Cyril Montavon] *
                            1 [Markus Fuchs (2)] *
                            1 [Oliver Linder] *
                            1 [Pete Wiedmer] *
                            4 [Roger Tanner (2)] *
                            1 [Thomas Muster (2)]
                           )

                         = 484

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Shakra] *
                            1 [Dominik Pfister] *
                            1 [John Prakesh] *
                            1 [Roger Tanner] *
                            1 [Thom Blunier] *
                            1 [Cyril Montavon] *
                            1 [Markus Fuchs (2)] *
                            1 [Oliver Linder] *
                            1 [Pete Wiedmer] *
                            1 [Roger Tanner (2)] *
                            1 [Thomas Muster (2)]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 11 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.74% (484 overall)
  • This Post (0.74%)
  • Roger Tanner (2) (2.96%)
  • Dominik Pfister (0.74%)
  • John Prakesh (0.74%)
  • Roger Tanner (0.74%)
  • Thom Blunier (0.74%)
  • Cyril Montavon (0.74%)
  • Markus Fuchs (2) (0.74%)
  • Oliver Linder (0.74%)
  • Pete Wiedmer (0.74%)
  • Thomas Muster (2) (0.74%)
Dominant nodes (excluded from chart)
Shakra 89.63%
Influence Share (vs Direct Neighbours)
8.33% (1 overall)
  • This Post (8.33%)
  • Shakra (8.33%)
  • Dominik Pfister (8.33%)
  • John Prakesh (8.33%)
  • Roger Tanner (8.33%)
  • Thom Blunier (8.33%)
  • Cyril Montavon (8.33%)
  • Markus Fuchs (2) (8.33%)
  • Oliver Linder (8.33%)
  • Pete Wiedmer (8.33%)
  • Roger Tanner (2) (8.33%)
  • Thomas Muster (2) (8.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Shakra ↗
Str: 121Inf: 1
Dominik Pfister ↗
Str: 1Inf: 1
John Prakesh ↗
Str: 1Inf: 1
Roger Tanner ↗
Str: 1Inf: 1
Thom Blunier ↗
Str: 1Inf: 1
Cyril Montavon ↗
Str: 1Inf: 1
Markus Fuchs (2) ↗
Str: 1Inf: 1
Oliver Linder ↗
Str: 1Inf: 1
Pete Wiedmer ↗
Str: 1Inf: 1
Roger Tanner (2) ↗
Str: 4Inf: 1
Thomas Muster (2) ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Thomas Muster (2) ↗
Str: 1Inf: 1
Roger Tanner (2) ↗
Str: 4Inf: 1
Pete Wiedmer ↗
Str: 1Inf: 1
Oliver Linder ↗
Str: 1Inf: 1
Markus Fuchs (2) ↗
Str: 1Inf: 1
Cyril Montavon ↗
Str: 1Inf: 1
Thom Blunier ↗
Str: 1Inf: 1
Roger Tanner ↗
Str: 1Inf: 1
John Prakesh ↗
Str: 1Inf: 1
Dominik Pfister ↗
Str: 1Inf: 1
Shakra ↗
Str: 121Inf: 1

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

Outbound Tags (1)
Shakra
Inbound Posts (1)
Shakra
Last calculated: Jun 21, 5:07 AM
26

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