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Red KrayolaThe Red CrayolaAlbert OehlenJailhouseThe Knowhow KnockersTitan KatzenEuphrat Und TigrisVan Oehlen

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Connected Bands/Artists

  • Euphrat Und Tigris
  • Jailhouse
  • Red Krayola
  • The Knowhow Knockers
  • The Red Crayola
  • Titan Katzen
  • Van Oehlen

Connected Musicians

  • Albert Oehlen

Network Profile

Overall Strength
i
0.20% of network
(640K)
Strength Breakdown
  • This Post (0.20%)
  • Euphrat Und Tigris (0.20%)
  • Jailhouse (0.20%)
  • The Knowhow Knockers (0.20%)
  • Titan Katzen (0.20%)
  • Van Oehlen (0.20%)
Dominant nodes (excluded from chart)
The Red Crayola 80.81%Albert Oehlen 12.93%Red Krayola 5.05%
Influence Score
i
11.11% of network
(1)
Influence Breakdown
  • This Post (11.11%)
  • The Red Crayola (11.11%)
  • Red Krayola (11.11%)
  • Albert Oehlen (11.11%)
  • Euphrat Und Tigris (11.11%)
  • Jailhouse (11.11%)
  • The Knowhow Knockers (11.11%)
  • Titan Katzen (11.11%)
  • Van Oehlen (11.11%)
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 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 400 [The Red Crayola] *
                            25 [Red Krayola] *
                            64 [Albert Oehlen] *
                            1 [Euphrat Und Tigris] *
                            1 [Jailhouse] *
                            1 [The Knowhow Knockers] *
                            1 [Titan Katzen] *
                            1 [Van Oehlen]
                           )

                         = 640K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [The Red Crayola] *
                            1 [Red Krayola] *
                            1 [Albert Oehlen] *
                            1 [Euphrat Und Tigris] *
                            1 [Jailhouse] *
                            1 [The Knowhow Knockers] *
                            1 [Titan Katzen] *
                            1 [Van Oehlen]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 8 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.20% (640K overall)
  • This Post (0.20%)
  • Euphrat Und Tigris (0.20%)
  • Jailhouse (0.20%)
  • The Knowhow Knockers (0.20%)
  • Titan Katzen (0.20%)
  • Van Oehlen (0.20%)
Dominant nodes (excluded from chart)
The Red Crayola 80.81%Albert Oehlen 12.93%Red Krayola 5.05%
Influence Share (vs Direct Neighbours)
11.11% (1 overall)
  • This Post (11.11%)
  • The Red Crayola (11.11%)
  • Red Krayola (11.11%)
  • Albert Oehlen (11.11%)
  • Euphrat Und Tigris (11.11%)
  • Jailhouse (11.11%)
  • The Knowhow Knockers (11.11%)
  • Titan Katzen (11.11%)
  • Van Oehlen (11.11%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
The Red Crayola ↗
Str: 400Inf: 1
Red Krayola ↗
Str: 25Inf: 1
Albert Oehlen ↗
Str: 64Inf: 1
Euphrat Und Tigris ↗
Str: 1Inf: 1
Jailhouse ↗
Str: 1Inf: 1
The Knowhow Knockers ↗
Str: 1Inf: 1
Titan Katzen ↗
Str: 1Inf: 1
Van Oehlen ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Van Oehlen ↗
Str: 1Inf: 1
Titan Katzen ↗
Str: 1Inf: 1
The Knowhow Knockers ↗
Str: 1Inf: 1
Jailhouse ↗
Str: 1Inf: 1
Euphrat Und Tigris ↗
Str: 1Inf: 1
Albert Oehlen ↗
Str: 64Inf: 1
Red Krayola ↗
Str: 25Inf: 1
The Red Crayola ↗
Str: 400Inf: 1

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

Outbound Tags (1)
Albert Oehlen
Inbound Posts (1)
Albert Oehlen
Last calculated: Sep 13, 8:06 AM
28

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