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Roman FiloDepresyOskar PompaRoman LaššoDrahoš GabrišPeter Gergel

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Vesper

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Connected Bands/Artists

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

Connected Musicians

  • Depresy

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Portage County37.1 km away
  • 📍
    Wisconsin37.1 km away
  • 📍
    LOYAL50.7 km away
  • 📍
    Onalaska119.6 km away
  • 📍
    Winona141.7 km away

Network Profile

Overall Strength
i
2.38% of network
(36)
Strength Breakdown
  • This Post (2.38%)
  • DrahoÅ¡ GabriÅ¡ (2.38%)
  • Oskar Pompa (2.38%)
  • Peter Gergel (2.38%)
  • Roman Filo (2.38%)
  • Roman Laššo (2.38%)
Dominant nodes (excluded from chart)
Depresy 85.71%
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Depresy (14.29%)
  • DrahoÅ¡ GabriÅ¡ (14.29%)
  • Oskar Pompa (14.29%)
  • Peter Gergel (14.29%)
  • Roman Filo (14.29%)
  • Roman Laššo (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 [Depresy] *
                            1 [DrahoÅ¡ GabriÅ¡] *
                            1 [Oskar Pompa] *
                            1 [Peter Gergel] *
                            1 [Roman Filo] *
                            1 [Roman Laššo]
                           )

                         = 36

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

                         = 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)
2.38% (36 overall)
  • This Post (2.38%)
  • DrahoÅ¡ GabriÅ¡ (2.38%)
  • Oskar Pompa (2.38%)
  • Peter Gergel (2.38%)
  • Roman Filo (2.38%)
  • Roman Laššo (2.38%)
Dominant nodes (excluded from chart)
Depresy 85.71%
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Depresy (14.29%)
  • DrahoÅ¡ GabriÅ¡ (14.29%)
  • Oskar Pompa (14.29%)
  • Peter Gergel (14.29%)
  • Roman Filo (14.29%)
  • Roman Laššo (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Depresy ↗
Str: 36Inf: 1
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
Weakest Connections (Lowest Multipliers)
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
Depresy ↗
Str: 36Inf: 1

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

Outbound Tags (1)
Depresy
Inbound Posts (1)
Depresy
Last calculated: Jun 22, 7:09 AM
Vesper, Wood County, United States15

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