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Ludwig van Beethoven
Franz Joseph Haydn
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Johannes Brahms
Antonio Salieri
Wolfgang Amadeus Mozart
Simon Sechter
Compositions by Franz SchubertManor in ŽeliezovceJohann Chrysostomus Senn

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Related Images

Monuments and memorials to Franz Schubert
Frédéric Chopin

Connected Musicians

  • Johann Chrysostomus Senn

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.09% of network
(117.54T)
Strength Breakdown
  • This Post (0.09%)
  • Ludwig van Beethoven (43.84%)
  • Franz Joseph Haydn (23.19%)
  • Franz Schubert (10.96%)
  • Wolfgang Amadeus Mozart (9.06%)
  • Antonio Salieri (5.80%)
  • Johannes Brahms (4.44%)
  • Simon Sechter (2.26%)
  • Serenade (0.09%)
  • Compositions by Franz Schubert (0.09%)
  • Johann Chrysostomus Senn (0.09%)
  • Manor in Želiezovce (0.09%)
Influence Score
i
8.33% of network
(1)
Influence Breakdown
  • This Post (8.33%)
  • Wolfgang Amadeus Mozart (8.33%)
  • Ludwig van Beethoven (8.33%)
  • Johannes Brahms (8.33%)
  • Franz Joseph Haydn (8.33%)
  • Franz Schubert (8.33%)
  • Antonio Salieri (8.33%)
  • Simon Sechter (8.33%)
  • Serenade (8.33%)
  • Compositions by Franz Schubert (8.33%)
  • Johann Chrysostomus Senn (8.33%)
  • Manor in Želiezovce (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 *
                           ( 100 [Wolfgang Amadeus Mozart] *
                            484 [Ludwig van Beethoven] *
                            49 [Johannes Brahms] *
                            256 [Franz Joseph Haydn] *
                            121 [Franz Schubert] *
                            64 [Antonio Salieri] *
                            25 [Simon Sechter] *
                            1 [Serenade] *
                            1 [Compositions by Franz Schubert] *
                            1 [Johann Chrysostomus Senn] *
                            1 [Manor in Želiezovce]
                           )

                         = 117.54T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Wolfgang Amadeus Mozart] *
                            1 [Ludwig van Beethoven] *
                            1 [Johannes Brahms] *
                            1 [Franz Joseph Haydn] *
                            1 [Franz Schubert] *
                            1 [Antonio Salieri] *
                            1 [Simon Sechter] *
                            1 [Serenade] *
                            1 [Compositions by Franz Schubert] *
                            1 [Johann Chrysostomus Senn] *
                            1 [Manor in Želiezovce]
                           )

                         = 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)
0.09% (117.54T overall)
  • This Post (0.09%)
  • Ludwig van Beethoven (43.84%)
  • Franz Joseph Haydn (23.19%)
  • Franz Schubert (10.96%)
  • Wolfgang Amadeus Mozart (9.06%)
  • Antonio Salieri (5.80%)
  • Johannes Brahms (4.44%)
  • Simon Sechter (2.26%)
  • Serenade (0.09%)
  • Compositions by Franz Schubert (0.09%)
  • Johann Chrysostomus Senn (0.09%)
  • Manor in Želiezovce (0.09%)
Influence Share (vs Direct Neighbours)
8.33% (1 overall)
  • This Post (8.33%)
  • Wolfgang Amadeus Mozart (8.33%)
  • Ludwig van Beethoven (8.33%)
  • Johannes Brahms (8.33%)
  • Franz Joseph Haydn (8.33%)
  • Franz Schubert (8.33%)
  • Antonio Salieri (8.33%)
  • Simon Sechter (8.33%)
  • Serenade (8.33%)
  • Compositions by Franz Schubert (8.33%)
  • Johann Chrysostomus Senn (8.33%)
  • Manor in Želiezovce (8.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Wolfgang Amadeus Mozart ↗
Str: 100Inf: 1
Ludwig van Beethoven ↗
Str: 484Inf: 1
Johannes Brahms ↗
Str: 49Inf: 1
Franz Joseph Haydn ↗
Str: 256Inf: 1
Franz Schubert ↗
Str: 121Inf: 1
Antonio Salieri ↗
Str: 64Inf: 1
Simon Sechter ↗
Str: 25Inf: 1
Serenade ↗
Str: 1Inf: 1
Compositions by Franz Schubert ↗
Str: 1Inf: 1
Johann Chrysostomus Senn ↗
Str: 1Inf: 1
Manor in Želiezovce ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Manor in Želiezovce ↗
Str: 1Inf: 1
Johann Chrysostomus Senn ↗
Str: 1Inf: 1
Compositions by Franz Schubert ↗
Str: 1Inf: 1
Serenade ↗
Str: 1Inf: 1
Simon Sechter ↗
Str: 25Inf: 1
Antonio Salieri ↗
Str: 64Inf: 1
Franz Schubert ↗
Str: 121Inf: 1
Franz Joseph Haydn ↗
Str: 256Inf: 1
Johannes Brahms ↗
Str: 49Inf: 1
Ludwig van Beethoven ↗
Str: 484Inf: 1
Wolfgang Amadeus Mozart ↗
Str: 100Inf: 1

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

Outbound Tags (1)
Franz Schubert
Inbound Posts (1)
Franz Schubert
Last calculated: Jun 21, 9:37 PM
35

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  • Manor in Želiezovce
  • Johannes Brahms
  • Franz Joseph Haydn
  • Franz Schubert
  • Antonio Salieri
  • Simon Sechter
  • Serenade