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dick-heckstall-smithKurt Herkenberg
Alex Conti
Hamburg Blues BandManfred KraskiMichael Becker (2)Reinhold LehrGert LangeCurly CurveKrissy Matthews

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Connected Bands/Artists

  • Curly Curve
  • Hamburg Blues Band

Connected Musicians

  • Alex Conti
    Alex Conti band photo
  • Chris Axel Klöber
  • dick-heckstall-smith
  • Gert Lange
  • Hanno Bruhn
  • Heiner Pudelko
  • Krissy Matthews
  • Kurt Herkenberg
  • Manfred Kraski
  • Martin Knaden
  • Michael Becker (2)
  • Reinhold Lehr

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.89% of network
(822.08M)
Strength Breakdown
  • This Post (0.89%)
  • Kurt Herkenberg (0.89%)
  • Manfred Kraski (0.22%)
  • Gert Lange (0.22%)
  • Krissy Matthews (0.22%)
  • Michael Becker (2) (0.22%)
  • Hanno Bruhn (0.22%)
  • Heiner Pudelko (0.22%)
  • Martin Knaden (0.22%)
  • Reinhold Lehr (0.22%)
  • Chris Axel Klöber (0.22%)
Dominant nodes (excluded from chart)
dick-heckstall-smith 56.89%Alex Conti 14.22%Curly Curve 14.22%Hamburg Blues Band 10.89%
Influence Score
i
6.67% of network
(1)
Influence Breakdown
  • This Post (6.67%)
  • Manfred Kraski (6.67%)
  • Hamburg Blues Band (6.67%)
  • Alex Conti (6.67%)
  • Gert Lange (6.67%)
  • Krissy Matthews (6.67%)
  • Michael Becker (2) (6.67%)
  • dick-heckstall-smith (6.67%)
  • Curly Curve (6.67%)
  • Kurt Herkenberg (6.67%)
  • Hanno Bruhn (6.67%)
  • Heiner Pudelko (6.67%)
  • Martin Knaden (6.67%)
  • Reinhold Lehr (6.67%)
  • Chris Axel Klöber (6.67%)
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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 1 [Manfred Kraski] *
                            49 [Hamburg Blues Band] *
                            64 [Alex Conti] *
                            1 [Gert Lange] *
                            1 [Krissy Matthews] *
                            1 [Michael Becker (2)] *
                            256 [dick-heckstall-smith] *
                            64 [Curly Curve] *
                            4 [Kurt Herkenberg] *
                            1 [Hanno Bruhn] *
                            1 [Heiner Pudelko] *
                            1 [Martin Knaden] *
                            1 [Reinhold Lehr] *
                            1 [Chris Axel Klöber]
                           )

                         = 822.08M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Manfred Kraski] *
                            1 [Hamburg Blues Band] *
                            1 [Alex Conti] *
                            1 [Gert Lange] *
                            1 [Krissy Matthews] *
                            1 [Michael Becker (2)] *
                            1 [dick-heckstall-smith] *
                            1 [Curly Curve] *
                            1 [Kurt Herkenberg] *
                            1 [Hanno Bruhn] *
                            1 [Heiner Pudelko] *
                            1 [Martin Knaden] *
                            1 [Reinhold Lehr] *
                            1 [Chris Axel Klöber]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 14 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.89% (822.08M overall)
  • This Post (0.89%)
  • Kurt Herkenberg (0.89%)
  • Manfred Kraski (0.22%)
  • Gert Lange (0.22%)
  • Krissy Matthews (0.22%)
  • Michael Becker (2) (0.22%)
  • Hanno Bruhn (0.22%)
  • Heiner Pudelko (0.22%)
  • Martin Knaden (0.22%)
  • Reinhold Lehr (0.22%)
  • Chris Axel Klöber (0.22%)
Dominant nodes (excluded from chart)
dick-heckstall-smith 56.89%Alex Conti 14.22%Curly Curve 14.22%Hamburg Blues Band 10.89%
Influence Share (vs Direct Neighbours)
6.67% (1 overall)
  • This Post (6.67%)
  • Manfred Kraski (6.67%)
  • Hamburg Blues Band (6.67%)
  • Alex Conti (6.67%)
  • Gert Lange (6.67%)
  • Krissy Matthews (6.67%)
  • Michael Becker (2) (6.67%)
  • dick-heckstall-smith (6.67%)
  • Curly Curve (6.67%)
  • Kurt Herkenberg (6.67%)
  • Hanno Bruhn (6.67%)
  • Heiner Pudelko (6.67%)
  • Martin Knaden (6.67%)
  • Reinhold Lehr (6.67%)
  • Chris Axel Klöber (6.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Manfred Kraski ↗
Str: 1Inf: 1
Hamburg Blues Band ↗
Str: 49Inf: 1
Alex Conti ↗
Str: 64Inf: 1
Gert Lange ↗
Str: 1Inf: 1
Krissy Matthews ↗
Str: 1Inf: 1
Michael Becker (2) ↗
Str: 1Inf: 1
dick-heckstall-smith ↗
Str: 256Inf: 1
Curly Curve ↗
Str: 64Inf: 1
Kurt Herkenberg ↗
Str: 4Inf: 1
Hanno Bruhn ↗
Str: 1Inf: 1
Heiner Pudelko ↗
Str: 1Inf: 1
Martin Knaden ↗
Str: 1Inf: 1
Reinhold Lehr ↗
Str: 1Inf: 1
Chris Axel Klöber ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Chris Axel Klöber ↗
Str: 1Inf: 1
Reinhold Lehr ↗
Str: 1Inf: 1
Martin Knaden ↗
Str: 1Inf: 1
Heiner Pudelko ↗
Str: 1Inf: 1
Hanno Bruhn ↗
Str: 1Inf: 1
Kurt Herkenberg ↗
Str: 4Inf: 1
Curly Curve ↗
Str: 64Inf: 1
dick-heckstall-smith ↗
Str: 256Inf: 1
Michael Becker (2) ↗
Str: 1Inf: 1
Krissy Matthews ↗
Str: 1Inf: 1
Gert Lange ↗
Str: 1Inf: 1
Alex Conti ↗
Str: 64Inf: 1
Hamburg Blues Band ↗
Str: 49Inf: 1
Manfred Kraski ↗
Str: 1Inf: 1

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

Outbound Tags (2)
Curly Curve
Hamburg Blues Band
Inbound Posts (2)
Hamburg Blues Band
Curly Curve
Last calculated: Jun 24, 10:43 PM
32

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