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Andrea KellerBruce DickeyChristian GoossesCantus CöllnAdrian RovatkayAnnette Labusch
Konrad Junghänel
Anne Katharina SchreiberClaudia SteebDaniel Deuter

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Connected Musicians

  • Adrian Rovatkay
  • Aino Hildebrandt
  • Albert Brüggen
  • Alexander Schneider (2)
  • Andrea Keller
  • Andreas Lackner
  • Andreas Scholl
    Andreas Scholl band photo
  • Anette Sichelschmidt
  • Ann-Kathrin Brüggemann
  • Anne Katharina Schreiber
  • Annette Hagedorn
  • Annette Labusch
  • Antje Sabinski
  • Beate Knobloch
  • Bernhard Junghänel
  • Bernhard Landauer
    Bernhard Landauer band photo
  • Bettina Ihrig
  • Bob Farley
  • Britta Heinrichs
  • Bruce Dickey
  • Cantus Cölln
  • Carsten Lohff
  • Christian Goosses
  • Christine Angot (2)
  • Christine Moran
  • Christine Plubeau
  • Christoph Anselm Noll
  • Claudia Steeb
  • Cosima Taubert
  • Daniel Deuter
  • David Cordier
  • Konrad Junghänel
    Konrad Junghänel band photo

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.09% of network
(1.1K)
Strength Breakdown
  • This Post (0.09%)
  • Cantus Cölln (99.91%)
Influence Score
i
50.00% of network
(1)
Influence Breakdown
  • This Post (50.00%)
  • Cantus Cölln (50.00%)
Direct Connections 1

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, 0) = 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 1 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 1.1K [Cantus Cölln]
                           )

                         = 1.1K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Cantus Cölln]
                           )

                         = 1
Outbound 0 Tags on post
Inbound 1 Posts tagging this
Connections 1 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.09% (1.1K overall)
  • This Post (0.09%)
  • Cantus Cölln (99.91%)
Influence Share (vs Direct Neighbours)
50.00% (1 overall)
  • This Post (50.00%)
  • Cantus Cölln (50.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Cantus Cölln ↗
Str: 1.1KInf: 1
Weakest Connections (Lowest Multipliers)
Cantus Cölln ↗
Str: 1.1KInf: 1

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

Auto-Cleaned (Outbound): These tags were automatically stripped off because they overlap with other musician titles: Cantus Cölln
Outbound Tags (0)
No outbound tags assigned.
Inbound Posts (1)
Cantus Cölln
BROKEN LINK
Last calculated: Sep 25, 10:36 PM
25

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