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Georg SumpikMichael Jeffrey ShapiroCzech PhilharmonicFranziska van OoyenGerd AlbrechtIvan PazourBohumil KotmelEmil LeichnerAntonín ModrFrantiÅ¡ek Havlín

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František Havlín

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Connected Bands/Artists

  • Czech Philharmonic
  • FrantiÅ¡ek Havlín

Connected Musicians

  • Antonín Modr
  • Bohumil Kotmel
  • Bohuslav MartinÅ ̄
  • Emil Leichner
  • FrantiÅ¡ek Bláha
  • FrantiÅ¡ek Herman
  • FrantiÅ¡ek Host
  • FrantiÅ¡ek Lhotka
  • FrantiÅ¡ek Vajnar
  • Franziska van Ooyen
  • Georg Sumpik
  • Gerd Albrecht
  • Ivan Pazour
  • Michael Jeffrey Shapiro

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.37% of network
(589.8K)
Strength Breakdown
  • This Post (1.37%)
  • Michael Jeffrey Shapiro (3.07%)
  • Antonín Modr (1.37%)
  • Georg Sumpik (1.37%)
  • Antonín Modr (1.37%)
  • Bohumil Kotmel (0.34%)
  • Emil Leichner (0.34%)
  • FrantiÅ¡ek Herman (0.34%)
  • FrantiÅ¡ek Lhotka (0.34%)
  • Franziska van Ooyen (0.34%)
  • Gerd Albrecht (0.34%)
  • Ivan Pazour (0.34%)
  • Bohuslav MartinÅ ̄ (0.34%)
  • FrantiÅ¡ek Bláha (0.34%)
  • FrantiÅ¡ek Host (0.34%)
  • FrantiÅ¡ek Vajnar (0.34%)
  • FrantiÅ¡ek Havlín (0.34%)
Dominant nodes (excluded from chart)
Czech Philharmonic 87.37%
Influence Score
i
5.56% of network
(1)
Influence Breakdown
  • This Post (5.56%)
  • Michael Jeffrey Shapiro (5.56%)
  • Czech Philharmonic (5.56%)
  • Antonín Modr (5.56%)
  • Bohumil Kotmel (5.56%)
  • Emil Leichner (5.56%)
  • FrantiÅ¡ek Herman (5.56%)
  • FrantiÅ¡ek Lhotka (5.56%)
  • Franziska van Ooyen (5.56%)
  • Georg Sumpik (5.56%)
  • Gerd Albrecht (5.56%)
  • Ivan Pazour (5.56%)
  • Antonín Modr (5.56%)
  • Bohuslav MartinÅ ̄ (5.56%)
  • FrantiÅ¡ek Bláha (5.56%)
  • FrantiÅ¡ek Host (5.56%)
  • FrantiÅ¡ek Vajnar (5.56%)
  • FrantiÅ¡ek Havlín (5.56%)
Direct Connections 4

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, 2) = 2
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 9 [Michael Jeffrey Shapiro] *
                            256 [Czech Philharmonic] *
                            4 [Antonín Modr] *
                            1 [Bohumil Kotmel] *
                            1 [Emil Leichner] *
                            1 [FrantiÅ¡ek Herman] *
                            1 [FrantiÅ¡ek Lhotka] *
                            1 [Franziska van Ooyen] *
                            4 [Georg Sumpik] *
                            1 [Gerd Albrecht] *
                            1 [Ivan Pazour] *
                            4 [Antonín Modr] *
                            1 [Bohuslav MartinÅ ̄] *
                            1 [FrantiÅ¡ek Bláha] *
                            1 [FrantiÅ¡ek Host] *
                            1 [FrantiÅ¡ek Vajnar] *
                            1 [FrantiÅ¡ek Havlín]
                           )

                         = 589.8K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Michael Jeffrey Shapiro] *
                            1 [Czech Philharmonic] *
                            1 [Antonín Modr] *
                            1 [Bohumil Kotmel] *
                            1 [Emil Leichner] *
                            1 [FrantiÅ¡ek Herman] *
                            1 [FrantiÅ¡ek Lhotka] *
                            1 [Franziska van Ooyen] *
                            1 [Georg Sumpik] *
                            1 [Gerd Albrecht] *
                            1 [Ivan Pazour] *
                            1 [Antonín Modr] *
                            1 [Bohuslav MartinÅ ̄] *
                            1 [FrantiÅ¡ek Bláha] *
                            1 [FrantiÅ¡ek Host] *
                            1 [FrantiÅ¡ek Vajnar] *
                            1 [FrantiÅ¡ek Havlín]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 17 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.37% (589.8K overall)
  • This Post (1.37%)
  • Michael Jeffrey Shapiro (3.07%)
  • Antonín Modr (1.37%)
  • Georg Sumpik (1.37%)
  • Antonín Modr (1.37%)
  • Bohumil Kotmel (0.34%)
  • Emil Leichner (0.34%)
  • FrantiÅ¡ek Herman (0.34%)
  • FrantiÅ¡ek Lhotka (0.34%)
  • Franziska van Ooyen (0.34%)
  • Gerd Albrecht (0.34%)
  • Ivan Pazour (0.34%)
  • Bohuslav MartinÅ ̄ (0.34%)
  • FrantiÅ¡ek Bláha (0.34%)
  • FrantiÅ¡ek Host (0.34%)
  • FrantiÅ¡ek Vajnar (0.34%)
  • FrantiÅ¡ek Havlín (0.34%)
Dominant nodes (excluded from chart)
Czech Philharmonic 87.37%
Influence Share (vs Direct Neighbours)
5.56% (1 overall)
  • This Post (5.56%)
  • Michael Jeffrey Shapiro (5.56%)
  • Czech Philharmonic (5.56%)
  • Antonín Modr (5.56%)
  • Bohumil Kotmel (5.56%)
  • Emil Leichner (5.56%)
  • FrantiÅ¡ek Herman (5.56%)
  • FrantiÅ¡ek Lhotka (5.56%)
  • Franziska van Ooyen (5.56%)
  • Georg Sumpik (5.56%)
  • Gerd Albrecht (5.56%)
  • Ivan Pazour (5.56%)
  • Antonín Modr (5.56%)
  • Bohuslav MartinÅ ̄ (5.56%)
  • FrantiÅ¡ek Bláha (5.56%)
  • FrantiÅ¡ek Host (5.56%)
  • FrantiÅ¡ek Vajnar (5.56%)
  • FrantiÅ¡ek Havlín (5.56%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Michael Jeffrey Shapiro ↗
Str: 9Inf: 1
Czech Philharmonic ↗
Str: 256Inf: 1
Antonín Modr ↗
Str: 4Inf: 1
Bohumil Kotmel ↗
Str: 1Inf: 1
Emil Leichner ↗
Str: 1Inf: 1
FrantiÅ¡ek Herman ↗
Str: 1Inf: 1
FrantiÅ¡ek Lhotka ↗
Str: 1Inf: 1
Franziska van Ooyen ↗
Str: 1Inf: 1
Georg Sumpik ↗
Str: 4Inf: 1
Gerd Albrecht ↗
Str: 1Inf: 1
Ivan Pazour ↗
Str: 1Inf: 1
Antonín Modr ↗
Str: 4Inf: 1
Bohuslav MartinÅ ̄ ↗
Str: 1Inf: 1
FrantiÅ¡ek Bláha ↗
Str: 1Inf: 1
FrantiÅ¡ek Host ↗
Str: 1Inf: 1
FrantiÅ¡ek Vajnar ↗
Str: 1Inf: 1
FrantiÅ¡ek Havlín ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
FrantiÅ¡ek Havlín ↗
Str: 1Inf: 1
FrantiÅ¡ek Vajnar ↗
Str: 1Inf: 1
FrantiÅ¡ek Host ↗
Str: 1Inf: 1
FrantiÅ¡ek Bláha ↗
Str: 1Inf: 1
Bohuslav MartinÅ ̄ ↗
Str: 1Inf: 1
Antonín Modr ↗
Str: 4Inf: 1
Ivan Pazour ↗
Str: 1Inf: 1
Gerd Albrecht ↗
Str: 1Inf: 1
Georg Sumpik ↗
Str: 4Inf: 1
Franziska van Ooyen ↗
Str: 1Inf: 1
FrantiÅ¡ek Lhotka ↗
Str: 1Inf: 1
FrantiÅ¡ek Herman ↗
Str: 1Inf: 1
Emil Leichner ↗
Str: 1Inf: 1
Bohumil Kotmel ↗
Str: 1Inf: 1
Antonín Modr ↗
Str: 4Inf: 1
Czech Philharmonic ↗
Str: 256Inf: 1
Michael Jeffrey Shapiro ↗
Str: 9Inf: 1

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

Outbound Tags (2)
Czech Philharmonic
FrantiÅ¡ek Havlín
Inbound Posts (2)
Czech Philharmonic
FrantiÅ¡ek Havlín
Last calculated: Jun 23, 3:24 PM
28

Related Content

Figures

  • Antonín Modr