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Kostas PanagiotouWijlen WijGeert Van MookStijn Van CauterLawrence Van Haecke

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Connected Bands/Artists

  • Wijlen Wij

Connected Musicians

  • Geert Van Mook
  • Kostas Panagiotou
  • Lawrence Van Haecke
  • Stijn Van Cauter

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.08% of network
(1.6K)
Strength Breakdown
  • This Post (1.08%)
  • Geert Van Mook (1.08%)
  • Lawrence Van Haecke (1.08%)
  • Stijn Van Cauter (1.08%)
Dominant nodes (excluded from chart)
Kostas Panagiotou 68.82%Wijlen Wij 26.88%
Influence Score
i
16.67% of network
(1)
Influence Breakdown
  • This Post (16.67%)
  • Wijlen Wij (16.67%)
  • Kostas Panagiotou (16.67%)
  • Geert Van Mook (16.67%)
  • Lawrence Van Haecke (16.67%)
  • Stijn Van Cauter (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 [Wijlen Wij] *
                            64 [Kostas Panagiotou] *
                            1 [Geert Van Mook] *
                            1 [Lawrence Van Haecke] *
                            1 [Stijn Van Cauter]
                           )

                         = 1.6K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Wijlen Wij] *
                            1 [Kostas Panagiotou] *
                            1 [Geert Van Mook] *
                            1 [Lawrence Van Haecke] *
                            1 [Stijn Van Cauter]
                           )

                         = 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)
1.08% (1.6K overall)
  • This Post (1.08%)
  • Geert Van Mook (1.08%)
  • Lawrence Van Haecke (1.08%)
  • Stijn Van Cauter (1.08%)
Dominant nodes (excluded from chart)
Kostas Panagiotou 68.82%Wijlen Wij 26.88%
Influence Share (vs Direct Neighbours)
16.67% (1 overall)
  • This Post (16.67%)
  • Wijlen Wij (16.67%)
  • Kostas Panagiotou (16.67%)
  • Geert Van Mook (16.67%)
  • Lawrence Van Haecke (16.67%)
  • Stijn Van Cauter (16.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Wijlen Wij ↗
Str: 25Inf: 1
Kostas Panagiotou ↗
Str: 64Inf: 1
Geert Van Mook ↗
Str: 1Inf: 1
Lawrence Van Haecke ↗
Str: 1Inf: 1
Stijn Van Cauter ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Stijn Van Cauter ↗
Str: 1Inf: 1
Lawrence Van Haecke ↗
Str: 1Inf: 1
Geert Van Mook ↗
Str: 1Inf: 1
Kostas Panagiotou ↗
Str: 64Inf: 1
Wijlen Wij ↗
Str: 25Inf: 1

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

Outbound Tags (1)
Wijlen Wij
Inbound Posts (1)
Wijlen Wij
Last calculated: Sep 19, 12:57 AM
20

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