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Lay Down Rotten
Daniel JakobiJost KleinertTimo ClaasTimo HänselUwe Kilian

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Connected Bands/Artists

  • Lay Down Rotten
    Lay Down Rotten band photo

Connected Musicians

  • Daniel Jakobi
  • Jost Kleinert
  • Timo Claas
  • Timo Hänsel
  • Uwe Kilian

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.89% of network
(1.3K)
Strength Breakdown
  • This Post (1.89%)
  • Timo Claas (16.98%)
  • Daniel Jakobi (7.55%)
  • Jost Kleinert (1.89%)
  • Timo Hänsel (1.89%)
  • Uwe Kilian (1.89%)
Dominant nodes (excluded from chart)
Lay Down Rotten 67.92%
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Lay Down Rotten (14.29%)
  • Daniel Jakobi (14.29%)
  • Jost Kleinert (14.29%)
  • Timo Claas (14.29%)
  • Timo Hänsel (14.29%)
  • Uwe Kilian (14.29%)
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 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 36 [Lay Down Rotten] *
                            4 [Daniel Jakobi] *
                            1 [Jost Kleinert] *
                            9 [Timo Claas] *
                            1 [Timo Hänsel] *
                            1 [Uwe Kilian]
                           )

                         = 1.3K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Lay Down Rotten] *
                            1 [Daniel Jakobi] *
                            1 [Jost Kleinert] *
                            1 [Timo Claas] *
                            1 [Timo Hänsel] *
                            1 [Uwe Kilian]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 6 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.89% (1.3K overall)
  • This Post (1.89%)
  • Timo Claas (16.98%)
  • Daniel Jakobi (7.55%)
  • Jost Kleinert (1.89%)
  • Timo Hänsel (1.89%)
  • Uwe Kilian (1.89%)
Dominant nodes (excluded from chart)
Lay Down Rotten 67.92%
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Lay Down Rotten (14.29%)
  • Daniel Jakobi (14.29%)
  • Jost Kleinert (14.29%)
  • Timo Claas (14.29%)
  • Timo Hänsel (14.29%)
  • Uwe Kilian (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Lay Down Rotten ↗
Str: 36Inf: 1
Daniel Jakobi ↗
Str: 4Inf: 1
Jost Kleinert ↗
Str: 1Inf: 1
Timo Claas ↗
Str: 9Inf: 1
Timo Hänsel ↗
Str: 1Inf: 1
Uwe Kilian ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Uwe Kilian ↗
Str: 1Inf: 1
Timo Hänsel ↗
Str: 1Inf: 1
Timo Claas ↗
Str: 9Inf: 1
Jost Kleinert ↗
Str: 1Inf: 1
Daniel Jakobi ↗
Str: 4Inf: 1
Lay Down Rotten ↗
Str: 36Inf: 1

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

Outbound Tags (1)
Lay Down Rotten
Inbound Posts (1)
Lay Down Rotten
Last calculated: Jun 26, 2:36 PM
13

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