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Depressive AgeIngo GrigoleitThorsten Stahnke (2)Kirk ThieleHarmann der DrescherDenise EpplerNorbert DrescherJan LubitzkiJochen KlempAlexander Thomas (4)

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Related Images

Knorkator

Connected Bands/Artists

  • Depressive Age

Connected Musicians

  • Denise Eppler
  • Harmann der Drescher
  • Ingo Grigoleit
  • Jan Lubitzki
  • Jochen Klemp
  • Norbert Drescher
  • Thorsten Stahnke (2)

Analyzing Network Connections...

Network Profile

Overall Strength
i
2.50% of network
(128)
Strength Breakdown
  • This Post (2.50%)
  • Harmann der Drescher (1.25%)
  • Denise Eppler (1.25%)
  • Ingo Grigoleit (1.25%)
  • Jan Lubitzki (1.25%)
  • Jochen Klemp (1.25%)
  • Norbert Drescher (1.25%)
  • Thorsten Stahnke (2) (1.25%)
  • Alexander Thomas (4) (1.25%)
  • Gero Ivers (1.25%)
  • Kirk Thiele (1.25%)
  • Nicolaj Gogow (1.25%)
  • Rajko Gohlke (1.25%)
  • Sebastian Baur (1.25%)
  • Sebastian Meyer (2) (1.25%)
Dominant nodes (excluded from chart)
Depressive Age 80.00%
Influence Score
i
11.76% of network
(2)
Influence Breakdown
  • This Post (11.76%)
  • Depressive Age (5.88%)
  • Harmann der Drescher (5.88%)
  • Denise Eppler (5.88%)
  • Ingo Grigoleit (5.88%)
  • Jan Lubitzki (5.88%)
  • Jochen Klemp (5.88%)
  • Norbert Drescher (5.88%)
  • Thorsten Stahnke (2) (5.88%)
  • Alexander Thomas (4) (5.88%)
  • Gero Ivers (5.88%)
  • Kirk Thiele (5.88%)
  • Nicolaj Gogow (5.88%)
  • Rajko Gohlke (5.88%)
  • Sebastian Baur (5.88%)
  • Sebastian Meyer (2) (5.88%)
Direct Connections 3

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, 1) = 1

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

// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 64 [Depressive Age] *
                            1 [Harmann der Drescher] *
                            1 [Denise Eppler] *
                            1 [Ingo Grigoleit] *
                            1 [Jan Lubitzki] *
                            1 [Jochen Klemp] *
                            1 [Norbert Drescher] *
                            1 [Thorsten Stahnke (2)] *
                            1 [Alexander Thomas (4)] *
                            1 [Gero Ivers] *
                            1 [Kirk Thiele] *
                            1 [Nicolaj Gogow] *
                            1 [Rajko Gohlke] *
                            1 [Sebastian Baur] *
                            1 [Sebastian Meyer (2)]
                           )

                         = 128

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 2 *
                           ( 1 [Depressive Age] *
                            1 [Harmann der Drescher] *
                            1 [Denise Eppler] *
                            1 [Ingo Grigoleit] *
                            1 [Jan Lubitzki] *
                            1 [Jochen Klemp] *
                            1 [Norbert Drescher] *
                            1 [Thorsten Stahnke (2)] *
                            1 [Alexander Thomas (4)] *
                            1 [Gero Ivers] *
                            1 [Kirk Thiele] *
                            1 [Nicolaj Gogow] *
                            1 [Rajko Gohlke] *
                            1 [Sebastian Baur] *
                            1 [Sebastian Meyer (2)]
                           )

                         = 2
Outbound 2 Tags on post
Inbound 1 Posts tagging this
Connections 15 Total nodes
Base Node Strength 2
Base Node Influence 2
Strength Share (vs Direct Neighbours)
2.50% (128 overall)
  • This Post (2.50%)
  • Harmann der Drescher (1.25%)
  • Denise Eppler (1.25%)
  • Ingo Grigoleit (1.25%)
  • Jan Lubitzki (1.25%)
  • Jochen Klemp (1.25%)
  • Norbert Drescher (1.25%)
  • Thorsten Stahnke (2) (1.25%)
  • Alexander Thomas (4) (1.25%)
  • Gero Ivers (1.25%)
  • Kirk Thiele (1.25%)
  • Nicolaj Gogow (1.25%)
  • Rajko Gohlke (1.25%)
  • Sebastian Baur (1.25%)
  • Sebastian Meyer (2) (1.25%)
Dominant nodes (excluded from chart)
Depressive Age 80.00%
Influence Share (vs Direct Neighbours)
11.76% (2 overall)
  • This Post (11.76%)
  • Depressive Age (5.88%)
  • Harmann der Drescher (5.88%)
  • Denise Eppler (5.88%)
  • Ingo Grigoleit (5.88%)
  • Jan Lubitzki (5.88%)
  • Jochen Klemp (5.88%)
  • Norbert Drescher (5.88%)
  • Thorsten Stahnke (2) (5.88%)
  • Alexander Thomas (4) (5.88%)
  • Gero Ivers (5.88%)
  • Kirk Thiele (5.88%)
  • Nicolaj Gogow (5.88%)
  • Rajko Gohlke (5.88%)
  • Sebastian Baur (5.88%)
  • Sebastian Meyer (2) (5.88%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Depressive Age ↗
Str: 64Inf: 1
Harmann der Drescher ↗
Str: 1Inf: 1
Denise Eppler ↗
Str: 1Inf: 1
Ingo Grigoleit ↗
Str: 1Inf: 1
Jan Lubitzki ↗
Str: 1Inf: 1
Jochen Klemp ↗
Str: 1Inf: 1
Norbert Drescher ↗
Str: 1Inf: 1
Thorsten Stahnke (2) ↗
Str: 1Inf: 1
Alexander Thomas (4) ↗
Str: 1Inf: 1
Gero Ivers ↗
Str: 1Inf: 1
Kirk Thiele ↗
Str: 1Inf: 1
Nicolaj Gogow ↗
Str: 1Inf: 1
Rajko Gohlke ↗
Str: 1Inf: 1
Sebastian Baur ↗
Str: 1Inf: 1
Sebastian Meyer (2) ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Sebastian Meyer (2) ↗
Str: 1Inf: 1
Sebastian Baur ↗
Str: 1Inf: 1
Rajko Gohlke ↗
Str: 1Inf: 1
Nicolaj Gogow ↗
Str: 1Inf: 1
Kirk Thiele ↗
Str: 1Inf: 1
Gero Ivers ↗
Str: 1Inf: 1
Alexander Thomas (4) ↗
Str: 1Inf: 1
Thorsten Stahnke (2) ↗
Str: 1Inf: 1
Norbert Drescher ↗
Str: 1Inf: 1
Jochen Klemp ↗
Str: 1Inf: 1
Jan Lubitzki ↗
Str: 1Inf: 1
Ingo Grigoleit ↗
Str: 1Inf: 1
Denise Eppler ↗
Str: 1Inf: 1
Harmann der Drescher ↗
Str: 1Inf: 1
Depressive Age ↗
Str: 64Inf: 1

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

Outbound Tags (2)
Depressive Age
Knorkator
BROKEN LINK
Inbound Posts (1)
Depressive Age
Last calculated: Jun 21, 4:14 PM
27

Related Content

Topics

  • Sebastian Meyer (2)
  • Alexander Thomas (4)
  • Gero Ivers
  • Kirk Thiele
  • Nicolaj Gogow
  • Rajko Gohlke
  • Sebastian Baur