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Olaf HayerHerbie LanghansSymphonityTomáš SklenářKonstantin NaumenkoMartin ŠkaroupkaMayo PetraninJohannes FrykholmRadim VečeřaMartin Å karoupka

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Connected Bands/Artists

  • Symphonity

Connected Musicians

  • Herbie Langhans
  • Johannes Frykholm
  • Konstantin Naumenko
  • Libor Křivák
  • Martin Å karoupka
  • Martin Škaroupka
  • Mayo Petranin
  • Olaf Hayer
  • Radim Večeřa
  • Tomáš Sklenář

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.54% of network
(1.21M)
Strength Breakdown
  • This Post (0.54%)
  • Mayo Petranin (2.15%)
  • Martin Å karoupka (2.15%)
  • Martin Škaroupka (0.54%)
  • Tomáš Sklenář (0.54%)
  • Johannes Frykholm (0.54%)
  • Konstantin Naumenko (0.54%)
  • Libor Křivák (0.54%)
  • Radim Večeřa (0.54%)
Dominant nodes (excluded from chart)
Symphonity 65.05%Herbie Langhans 13.44%Olaf Hayer 13.44%
Influence Score
i
8.33% of network
(1)
Influence Breakdown
  • This Post (8.33%)
  • Herbie Langhans (8.33%)
  • Symphonity (8.33%)
  • Martin Škaroupka (8.33%)
  • Olaf Hayer (8.33%)
  • Tomáš Sklenář (8.33%)
  • Johannes Frykholm (8.33%)
  • Konstantin Naumenko (8.33%)
  • Mayo Petranin (8.33%)
  • Libor Křivák (8.33%)
  • Martin Å karoupka (8.33%)
  • Radim Večeřa (8.33%)
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 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 25 [Herbie Langhans] *
                            121 [Symphonity] *
                            1 [Martin Škaroupka] *
                            25 [Olaf Hayer] *
                            1 [Tomáš Sklenář] *
                            1 [Johannes Frykholm] *
                            1 [Konstantin Naumenko] *
                            4 [Mayo Petranin] *
                            1 [Libor Křivák] *
                            4 [Martin Å karoupka] *
                            1 [Radim Večeřa]
                           )

                         = 1.21M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Herbie Langhans] *
                            1 [Symphonity] *
                            1 [Martin Škaroupka] *
                            1 [Olaf Hayer] *
                            1 [Tomáš Sklenář] *
                            1 [Johannes Frykholm] *
                            1 [Konstantin Naumenko] *
                            1 [Mayo Petranin] *
                            1 [Libor Křivák] *
                            1 [Martin Å karoupka] *
                            1 [Radim Večeřa]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 11 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.54% (1.21M overall)
  • This Post (0.54%)
  • Mayo Petranin (2.15%)
  • Martin Å karoupka (2.15%)
  • Martin Škaroupka (0.54%)
  • Tomáš Sklenář (0.54%)
  • Johannes Frykholm (0.54%)
  • Konstantin Naumenko (0.54%)
  • Libor Křivák (0.54%)
  • Radim Večeřa (0.54%)
Dominant nodes (excluded from chart)
Symphonity 65.05%Herbie Langhans 13.44%Olaf Hayer 13.44%
Influence Share (vs Direct Neighbours)
8.33% (1 overall)
  • This Post (8.33%)
  • Herbie Langhans (8.33%)
  • Symphonity (8.33%)
  • Martin Škaroupka (8.33%)
  • Olaf Hayer (8.33%)
  • Tomáš Sklenář (8.33%)
  • Johannes Frykholm (8.33%)
  • Konstantin Naumenko (8.33%)
  • Mayo Petranin (8.33%)
  • Libor Křivák (8.33%)
  • Martin Å karoupka (8.33%)
  • Radim Večeřa (8.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Herbie Langhans ↗
Str: 25Inf: 1
Symphonity ↗
Str: 121Inf: 1
Martin Škaroupka ↗
Str: 1Inf: 1
Olaf Hayer ↗
Str: 25Inf: 1
Tomáš Sklenář ↗
Str: 1Inf: 1
Johannes Frykholm ↗
Str: 1Inf: 1
Konstantin Naumenko ↗
Str: 1Inf: 1
Mayo Petranin ↗
Str: 4Inf: 1
Libor Křivák ↗
Str: 1Inf: 1
Martin Å karoupka ↗
Str: 4Inf: 1
Radim Večeřa ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Radim Večeřa ↗
Str: 1Inf: 1
Martin Å karoupka ↗
Str: 4Inf: 1
Libor Křivák ↗
Str: 1Inf: 1
Mayo Petranin ↗
Str: 4Inf: 1
Konstantin Naumenko ↗
Str: 1Inf: 1
Johannes Frykholm ↗
Str: 1Inf: 1
Tomáš Sklenář ↗
Str: 1Inf: 1
Olaf Hayer ↗
Str: 25Inf: 1
Martin Škaroupka ↗
Str: 1Inf: 1
Symphonity ↗
Str: 121Inf: 1
Herbie Langhans ↗
Str: 25Inf: 1

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

Outbound Tags (1)
Symphonity
Inbound Posts (1)
Symphonity
Last calculated: Jun 24, 12:04 PM
32

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