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VesperRoman FiloOskar PompaRoman LaššoDrahoš GabrišPeter Gergel

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Connected Bands/Artists

  • DrahoÅ¡ GabriÅ¡
  • Oskar Pompa
  • Peter Gergel
  • Roman Filo
  • Roman Laššo
  • Vesper

Analyzing Network Connections...

Network Profile

Overall Strength
i
85.71% of network
(36)
Strength Breakdown
  • This Post (85.71%)
  • DrahoÅ¡ GabriÅ¡ (2.38%)
  • Oskar Pompa (2.38%)
  • Peter Gergel (2.38%)
  • Roman Filo (2.38%)
  • Roman Laššo (2.38%)
  • Vesper (2.38%)
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • DrahoÅ¡ GabriÅ¡ (14.29%)
  • Oskar Pompa (14.29%)
  • Peter Gergel (14.29%)
  • Roman Filo (14.29%)
  • Roman Laššo (14.29%)
  • Vesper (14.29%)
Direct Connections 12

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, 6) = 6
$outbound = max(1, 6) = 6

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1

// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 36 *
                           ( 1 [DrahoÅ¡ GabriÅ¡] *
                            1 [Oskar Pompa] *
                            1 [Peter Gergel] *
                            1 [Roman Filo] *
                            1 [Roman Laššo] *
                            1 [Vesper]
                           )

                         = 36

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [DrahoÅ¡ GabriÅ¡] *
                            1 [Oskar Pompa] *
                            1 [Peter Gergel] *
                            1 [Roman Filo] *
                            1 [Roman Laššo] *
                            1 [Vesper]
                           )

                         = 1
Outbound 6 Tags on post
Inbound 6 Posts tagging this
Connections 6 Total nodes
Base Node Strength 36
Base Node Influence 1
Strength Share (vs Direct Neighbours)
85.71% (36 overall)
  • This Post (85.71%)
  • DrahoÅ¡ GabriÅ¡ (2.38%)
  • Oskar Pompa (2.38%)
  • Peter Gergel (2.38%)
  • Roman Filo (2.38%)
  • Roman Laššo (2.38%)
  • Vesper (2.38%)
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • DrahoÅ¡ GabriÅ¡ (14.29%)
  • Oskar Pompa (14.29%)
  • Peter Gergel (14.29%)
  • Roman Filo (14.29%)
  • Roman Laššo (14.29%)
  • Vesper (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
DrahoÅ¡ GabriÅ¡ ↗
Str: 1Inf: 1
Oskar Pompa ↗
Str: 1Inf: 1
Peter Gergel ↗
Str: 1Inf: 1
Roman Filo ↗
Str: 1Inf: 1
Roman Laššo ↗
Str: 1Inf: 1
Vesper ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Vesper ↗
Str: 1Inf: 1
Roman Laššo ↗
Str: 1Inf: 1
Roman Filo ↗
Str: 1Inf: 1
Peter Gergel ↗
Str: 1Inf: 1
Oskar Pompa ↗
Str: 1Inf: 1
DrahoÅ¡ GabriÅ¡ ↗
Str: 1Inf: 1

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

Outbound Tags (6)
Drahoš Gabriš
Oskar Pompa
Peter Gergel
Roman Filo
Roman Laššo
Vesper
Inbound Posts (6)
Drahoš Gabriš
Oskar Pompa
Peter Gergel
Roman Filo
Roman Laššo
Vesper
Last calculated: Jun 22, 9:40 AM
8

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