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Birgit Muggenthaler-Schmack
Ally StorchThomas LindnerHubsi Widmann
Schandmaul
Martin DucksteinStefan BrunnerMatthias RichterSaskia ForkertAnna Katharina Kränzlein

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Connected Bands/Artists

  • Schandmaul
    Schandmaul band photo

Connected Musicians

  • Ally Storch
  • Anna Katharina Kränzlein
  • Birgit Muggenthaler-Schmack
    Birgit Muggenthaler-Schmack band photo
  • Hubsi Widmann
  • Martin Duckstein
  • Matthias Richter
  • Saskia Forkert
  • Stefan Brunner
  • Thomas Lindner

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.88% of network
(400)
Strength Breakdown
  • This Post (0.88%)
  • Ally Storch (3.54%)
  • Birgit Muggenthaler-Schmack (0.88%)
  • Martin Duckstein (0.88%)
  • Stefan Brunner (0.88%)
  • Thomas Lindner (0.88%)
  • Hubsi Widmann (0.88%)
  • Matthias Richter (0.88%)
  • Saskia Forkert (0.88%)
  • Anna Katharina Kränzlein (0.88%)
Dominant nodes (excluded from chart)
Schandmaul 88.50%
Influence Score
i
9.09% of network
(1)
Influence Breakdown
  • This Post (9.09%)
  • Schandmaul (9.09%)
  • Birgit Muggenthaler-Schmack (9.09%)
  • Martin Duckstein (9.09%)
  • Stefan Brunner (9.09%)
  • Thomas Lindner (9.09%)
  • Ally Storch (9.09%)
  • Hubsi Widmann (9.09%)
  • Matthias Richter (9.09%)
  • Saskia Forkert (9.09%)
  • Anna Katharina Kränzlein (9.09%)
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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 100 [Schandmaul] *
                            1 [Birgit Muggenthaler-Schmack] *
                            1 [Martin Duckstein] *
                            1 [Stefan Brunner] *
                            1 [Thomas Lindner] *
                            4 [Ally Storch] *
                            1 [Hubsi Widmann] *
                            1 [Matthias Richter] *
                            1 [Saskia Forkert] *
                            1 [Anna Katharina Kränzlein]
                           )

                         = 400

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Schandmaul] *
                            1 [Birgit Muggenthaler-Schmack] *
                            1 [Martin Duckstein] *
                            1 [Stefan Brunner] *
                            1 [Thomas Lindner] *
                            1 [Ally Storch] *
                            1 [Hubsi Widmann] *
                            1 [Matthias Richter] *
                            1 [Saskia Forkert] *
                            1 [Anna Katharina Kränzlein]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 10 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.88% (400 overall)
  • This Post (0.88%)
  • Ally Storch (3.54%)
  • Birgit Muggenthaler-Schmack (0.88%)
  • Martin Duckstein (0.88%)
  • Stefan Brunner (0.88%)
  • Thomas Lindner (0.88%)
  • Hubsi Widmann (0.88%)
  • Matthias Richter (0.88%)
  • Saskia Forkert (0.88%)
  • Anna Katharina Kränzlein (0.88%)
Dominant nodes (excluded from chart)
Schandmaul 88.50%
Influence Share (vs Direct Neighbours)
9.09% (1 overall)
  • This Post (9.09%)
  • Schandmaul (9.09%)
  • Birgit Muggenthaler-Schmack (9.09%)
  • Martin Duckstein (9.09%)
  • Stefan Brunner (9.09%)
  • Thomas Lindner (9.09%)
  • Ally Storch (9.09%)
  • Hubsi Widmann (9.09%)
  • Matthias Richter (9.09%)
  • Saskia Forkert (9.09%)
  • Anna Katharina Kränzlein (9.09%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Schandmaul ↗
Str: 100Inf: 1
Birgit Muggenthaler-Schmack ↗
Str: 1Inf: 1
Martin Duckstein ↗
Str: 1Inf: 1
Stefan Brunner ↗
Str: 1Inf: 1
Thomas Lindner ↗
Str: 1Inf: 1
Ally Storch ↗
Str: 4Inf: 1
Hubsi Widmann ↗
Str: 1Inf: 1
Matthias Richter ↗
Str: 1Inf: 1
Saskia Forkert ↗
Str: 1Inf: 1
Anna Katharina Kränzlein ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Anna Katharina Kränzlein ↗
Str: 1Inf: 1
Saskia Forkert ↗
Str: 1Inf: 1
Matthias Richter ↗
Str: 1Inf: 1
Hubsi Widmann ↗
Str: 1Inf: 1
Ally Storch ↗
Str: 4Inf: 1
Thomas Lindner ↗
Str: 1Inf: 1
Stefan Brunner ↗
Str: 1Inf: 1
Martin Duckstein ↗
Str: 1Inf: 1
Birgit Muggenthaler-Schmack ↗
Str: 1Inf: 1
Schandmaul ↗
Str: 100Inf: 1

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

Outbound Tags (1)
Schandmaul
Inbound Posts (1)
Schandmaul
Last calculated: Jun 27, 2:59 PM
13

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