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Ryan Fieret
Eelke Kalberg
Dash Berlin
Sebastiaan MolijnSchaffel

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Connected Bands/Artists

  • Dash Berlin
    Dash Berlin band photo
  • Schaffel

Connected Musicians

  • Eelke Kalberg
    Eelke Kalberg band photo
  • Ryan Fieret
  • Sebastiaan Molijn

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.47% of network
(810K)
Strength Breakdown
  • This Post (0.47%)
  • Eelke Kalberg (47.17%)
  • Schaffel (38.21%)
  • Dash Berlin (11.79%)
  • Sebastiaan Molijn (1.89%)
  • Ryan Fieret (0.47%)
Influence Score
i
16.67% of network
(1)
Influence Breakdown
  • This Post (16.67%)
  • Dash Berlin (16.67%)
  • Eelke Kalberg (16.67%)
  • Ryan Fieret (16.67%)
  • Sebastiaan Molijn (16.67%)
  • Schaffel (16.67%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 25 [Dash Berlin] *
                            100 [Eelke Kalberg] *
                            1 [Ryan Fieret] *
                            4 [Sebastiaan Molijn] *
                            81 [Schaffel]
                           )

                         = 810K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Dash Berlin] *
                            1 [Eelke Kalberg] *
                            1 [Ryan Fieret] *
                            1 [Sebastiaan Molijn] *
                            1 [Schaffel]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 5 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.47% (810K overall)
  • This Post (0.47%)
  • Eelke Kalberg (47.17%)
  • Schaffel (38.21%)
  • Dash Berlin (11.79%)
  • Sebastiaan Molijn (1.89%)
  • Ryan Fieret (0.47%)
Influence Share (vs Direct Neighbours)
16.67% (1 overall)
  • This Post (16.67%)
  • Dash Berlin (16.67%)
  • Eelke Kalberg (16.67%)
  • Ryan Fieret (16.67%)
  • Sebastiaan Molijn (16.67%)
  • Schaffel (16.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Dash Berlin ↗
Str: 25Inf: 1
Eelke Kalberg ↗
Str: 100Inf: 1
Ryan Fieret ↗
Str: 1Inf: 1
Sebastiaan Molijn ↗
Str: 4Inf: 1
Schaffel ↗
Str: 81Inf: 1
Weakest Connections (Lowest Multipliers)
Schaffel ↗
Str: 81Inf: 1
Sebastiaan Molijn ↗
Str: 4Inf: 1
Ryan Fieret ↗
Str: 1Inf: 1
Eelke Kalberg ↗
Str: 100Inf: 1
Dash Berlin ↗
Str: 25Inf: 1

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

Outbound Tags (1)
Dash Berlin
Inbound Posts (1)
Dash Berlin
Last calculated: Oct 18, 11:18 AM
29

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