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Andreas Vogt (3)Heads For The DeadRalf HauberRalf HauberssonFabian HerrmannKlemi

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Connected Bands/Artists

  • Heads For The Dead

Connected Musicians

  • Andreas Vogt (3)
  • Fabian Herrmann
  • Klemi
  • Ralf Hauber
  • Ralf Haubersson

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • Thumbnail for Koppelsberg
    Koppelsberg29.8 km away
  • 📍
    Kirche auf dem Koppelsberg30.0 km away
  • 📍
    Max Planck Institute for Evolutionary Biology32.4 km away
  • 📍
    Tor der Hoffnung39.3 km away
  • 📍
    Tierpark Hagenbeck39.4 km away

Network Profile

Overall Strength
i
43.10% of network
(2.5K)
Strength Breakdown
  • This Post (43.10%)
  • Ralf Hauber (6.90%)
  • Ralf Haubersson (1.72%)
  • Klemi (1.72%)
  • Andreas Vogt (3) (1.72%)
  • Fabian Herrmann (1.72%)
Dominant nodes (excluded from chart)
Heads For The Dead 43.10%
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Ralf Haubersson (14.29%)
  • Klemi (14.29%)
  • Heads For The Dead (14.29%)
  • Ralf Hauber (14.29%)
  • Andreas Vogt (3) (14.29%)
  • Fabian Herrmann (14.29%)
Direct Connections 10

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, 5) = 5
$outbound = max(1, 5) = 5

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1

// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 25 *
                           ( 1 [Ralf Haubersson] *
                            1 [Klemi] *
                            25 [Heads For The Dead] *
                            4 [Ralf Hauber] *
                            1 [Andreas Vogt (3)] *
                            1 [Fabian Herrmann]
                           )

                         = 2.5K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Ralf Haubersson] *
                            1 [Klemi] *
                            1 [Heads For The Dead] *
                            1 [Ralf Hauber] *
                            1 [Andreas Vogt (3)] *
                            1 [Fabian Herrmann]
                           )

                         = 1
Outbound 5 Tags on post
Inbound 5 Posts tagging this
Connections 6 Total nodes
Base Node Strength 25
Base Node Influence 1
Strength Share (vs Direct Neighbours)
43.10% (2.5K overall)
  • This Post (43.10%)
  • Ralf Hauber (6.90%)
  • Ralf Haubersson (1.72%)
  • Klemi (1.72%)
  • Andreas Vogt (3) (1.72%)
  • Fabian Herrmann (1.72%)
Dominant nodes (excluded from chart)
Heads For The Dead 43.10%
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Ralf Haubersson (14.29%)
  • Klemi (14.29%)
  • Heads For The Dead (14.29%)
  • Ralf Hauber (14.29%)
  • Andreas Vogt (3) (14.29%)
  • Fabian Herrmann (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Ralf Haubersson ↗
Str: 1Inf: 1
Klemi ↗
Str: 1Inf: 1
Heads For The Dead ↗
Str: 25Inf: 1
Ralf Hauber ↗
Str: 4Inf: 1
Andreas Vogt (3) ↗
Str: 1Inf: 1
Fabian Herrmann ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Fabian Herrmann ↗
Str: 1Inf: 1
Andreas Vogt (3) ↗
Str: 1Inf: 1
Ralf Hauber ↗
Str: 4Inf: 1
Heads For The Dead ↗
Str: 25Inf: 1
Klemi ↗
Str: 1Inf: 1
Ralf Haubersson ↗
Str: 1Inf: 1

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

Outbound Tags (5)
Andreas Vogt (3)
Fabian Herrmann
Klemi
Ralf Hauber
Ralf Haubersson
Inbound Posts (5)
Ralf Hauber
Klemi
Ralf Haubersson
Andreas Vogt (3)
Fabian Herrmann
Last calculated: Sep 29, 4:19 AM
Kreis Segeberg, Germany22

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