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Ryan Fieret
Eelke Kalberg
Dash Berlin
SchaffelAlice DeejayDennis Van Der DriesschenJeffrey SutoriusWessel Van DiepenJudith PronkJurgen Rijkers

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Connected Bands/Artists

  • Alice Deejay
  • Dash Berlin
    Dash Berlin band photo
  • Schaffel

Connected Musicians

  • Dennis Van Der Driesschen
  • Eelke Kalberg
    Eelke Kalberg band photo
  • Jeffrey Sutorius
  • Judith Pronk
  • Jurgen Rijkers
  • Ryan Fieret
  • Wessel Van Diepen

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.55% of network
(466.56M)
Strength Breakdown
  • This Post (1.55%)
  • Alice Deejay (13.95%)
  • Dash Berlin (9.69%)
  • Dennis Van Der Driesschen (1.55%)
  • Wessel Van Diepen (1.55%)
  • Judith Pronk (0.39%)
  • Jurgen Rijkers (0.39%)
  • Jeffrey Sutorius (0.39%)
  • Ryan Fieret (0.39%)
Dominant nodes (excluded from chart)
Eelke Kalberg 38.76%Schaffel 31.40%
Influence Score
i
9.09% of network
(1)
Influence Breakdown
  • This Post (9.09%)
  • Alice Deejay (9.09%)
  • Eelke Kalberg (9.09%)
  • Dennis Van Der Driesschen (9.09%)
  • Wessel Van Diepen (9.09%)
  • Judith Pronk (9.09%)
  • Jurgen Rijkers (9.09%)
  • Dash Berlin (9.09%)
  • Jeffrey Sutorius (9.09%)
  • Ryan Fieret (9.09%)
  • Schaffel (9.09%)
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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 36 [Alice Deejay] *
                            100 [Eelke Kalberg] *
                            4 [Dennis Van Der Driesschen] *
                            4 [Wessel Van Diepen] *
                            1 [Judith Pronk] *
                            1 [Jurgen Rijkers] *
                            25 [Dash Berlin] *
                            1 [Jeffrey Sutorius] *
                            1 [Ryan Fieret] *
                            81 [Schaffel]
                           )

                         = 466.56M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Alice Deejay] *
                            1 [Eelke Kalberg] *
                            1 [Dennis Van Der Driesschen] *
                            1 [Wessel Van Diepen] *
                            1 [Judith Pronk] *
                            1 [Jurgen Rijkers] *
                            1 [Dash Berlin] *
                            1 [Jeffrey Sutorius] *
                            1 [Ryan Fieret] *
                            1 [Schaffel]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 10 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.55% (466.56M overall)
  • This Post (1.55%)
  • Alice Deejay (13.95%)
  • Dash Berlin (9.69%)
  • Dennis Van Der Driesschen (1.55%)
  • Wessel Van Diepen (1.55%)
  • Judith Pronk (0.39%)
  • Jurgen Rijkers (0.39%)
  • Jeffrey Sutorius (0.39%)
  • Ryan Fieret (0.39%)
Dominant nodes (excluded from chart)
Eelke Kalberg 38.76%Schaffel 31.40%
Influence Share (vs Direct Neighbours)
9.09% (1 overall)
  • This Post (9.09%)
  • Alice Deejay (9.09%)
  • Eelke Kalberg (9.09%)
  • Dennis Van Der Driesschen (9.09%)
  • Wessel Van Diepen (9.09%)
  • Judith Pronk (9.09%)
  • Jurgen Rijkers (9.09%)
  • Dash Berlin (9.09%)
  • Jeffrey Sutorius (9.09%)
  • Ryan Fieret (9.09%)
  • Schaffel (9.09%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Alice Deejay ↗
Str: 36Inf: 1
Eelke Kalberg ↗
Str: 100Inf: 1
Dennis Van Der Driesschen ↗
Str: 4Inf: 1
Wessel Van Diepen ↗
Str: 4Inf: 1
Judith Pronk ↗
Str: 1Inf: 1
Jurgen Rijkers ↗
Str: 1Inf: 1
Dash Berlin ↗
Str: 25Inf: 1
Jeffrey Sutorius ↗
Str: 1Inf: 1
Ryan Fieret ↗
Str: 1Inf: 1
Schaffel ↗
Str: 81Inf: 1
Weakest Connections (Lowest Multipliers)
Schaffel ↗
Str: 81Inf: 1
Ryan Fieret ↗
Str: 1Inf: 1
Jeffrey Sutorius ↗
Str: 1Inf: 1
Dash Berlin ↗
Str: 25Inf: 1
Jurgen Rijkers ↗
Str: 1Inf: 1
Judith Pronk ↗
Str: 1Inf: 1
Wessel Van Diepen ↗
Str: 4Inf: 1
Dennis Van Der Driesschen ↗
Str: 4Inf: 1
Eelke Kalberg ↗
Str: 100Inf: 1
Alice Deejay ↗
Str: 36Inf: 1

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

Outbound Tags (2)
Alice Deejay
Dash Berlin
Inbound Posts (2)
Dash Berlin
Alice Deejay
Last calculated: Jun 30, 9:03 PM
32

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