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Kloot Per WSara KroosJeroen van KoningsbruggeRuben NicolaiTijl BeckandDe Lama’sRuben van der Meer

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Connected Bands/Artists

  • De Lama’s

Connected Musicians

  • Jeroen van Koningsbrugge
  • Kloot Per W
  • Ruben Nicolai
  • Ruben van der Meer
  • Sara Kroos
  • Tijl Beckand

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.74% of network
(4K)
Strength Breakdown
  • This Post (0.74%)
  • Jeroen van Koningsbrugge (0.74%)
  • Ruben Nicolai (0.74%)
  • Ruben van der Meer (0.74%)
  • Sara Kroos (0.74%)
  • Tijl Beckand (0.74%)
Dominant nodes (excluded from chart)
Kloot Per W 59.56%De Lama's 36.03%
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Kloot Per W (12.50%)
  • Jeroen van Koningsbrugge (12.50%)
  • Ruben Nicolai (12.50%)
  • Ruben van der Meer (12.50%)
  • Sara Kroos (12.50%)
  • Tijl Beckand (12.50%)
  • De Lama's (12.50%)
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 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 81 [Kloot Per W] *
                            1 [Jeroen van Koningsbrugge] *
                            1 [Ruben Nicolai] *
                            1 [Ruben van der Meer] *
                            1 [Sara Kroos] *
                            1 [Tijl Beckand] *
                            49 [De Lama's]
                           )

                         = 4K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Kloot Per W] *
                            1 [Jeroen van Koningsbrugge] *
                            1 [Ruben Nicolai] *
                            1 [Ruben van der Meer] *
                            1 [Sara Kroos] *
                            1 [Tijl Beckand] *
                            1 [De Lama's]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.74% (4K overall)
  • This Post (0.74%)
  • Jeroen van Koningsbrugge (0.74%)
  • Ruben Nicolai (0.74%)
  • Ruben van der Meer (0.74%)
  • Sara Kroos (0.74%)
  • Tijl Beckand (0.74%)
Dominant nodes (excluded from chart)
Kloot Per W 59.56%De Lama's 36.03%
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Kloot Per W (12.50%)
  • Jeroen van Koningsbrugge (12.50%)
  • Ruben Nicolai (12.50%)
  • Ruben van der Meer (12.50%)
  • Sara Kroos (12.50%)
  • Tijl Beckand (12.50%)
  • De Lama's (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Kloot Per W ↗
Str: 81Inf: 1
Jeroen van Koningsbrugge ↗
Str: 1Inf: 1
Ruben Nicolai ↗
Str: 1Inf: 1
Ruben van der Meer ↗
Str: 1Inf: 1
Sara Kroos ↗
Str: 1Inf: 1
Tijl Beckand ↗
Str: 1Inf: 1
De Lama's ↗
Str: 49Inf: 1
Weakest Connections (Lowest Multipliers)
De Lama's ↗
Str: 49Inf: 1
Tijl Beckand ↗
Str: 1Inf: 1
Sara Kroos ↗
Str: 1Inf: 1
Ruben van der Meer ↗
Str: 1Inf: 1
Ruben Nicolai ↗
Str: 1Inf: 1
Jeroen van Koningsbrugge ↗
Str: 1Inf: 1
Kloot Per W ↗
Str: 81Inf: 1

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

Outbound Tags (1)
De Lama's
Inbound Posts (1)
De Lama's
Last calculated: Jun 23, 8:57 AM
24

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