Analyzing Network Connections...
Network Profile
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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 81 [Bethlehem] *
64 [Matron Thorn] *
4 [Onielar] *
36 [Maurice Swinkels] *
64 [Niklas Olsson] *
1 [Jürgen Bartsch] *
1 [Klaus Matton] *
81 [Moritz Neuner] *
81 [Niklas Kvarforth] *
1 [Knaphoscheid] *
9 [Niederwiltz] *
4 [Roullingen] *
4 [Selscheid] *
1 [Sports in Wiltz] *
1 [Symbols of Wiltz] *
1 [Tutschemillen] *
1 [Église Saints-Pierre-et-Paul Niederwiltz] *
1 [Former Windmill Niederwiltz] *
1 [Parc éolien de Roullingen - Goesdorf] *
4 [Église Saint-Amand, Selscheid]
)
= 1.16 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Bethlehem] *
1 [Matron Thorn] *
1 [Onielar] *
1 [Maurice Swinkels] *
1 [Niklas Olsson] *
1 [Jürgen Bartsch] *
1 [Klaus Matton] *
1 [Moritz Neuner] *
1 [Niklas Kvarforth] *
1 [Knaphoscheid] *
1 [Niederwiltz] *
1 [Roullingen] *
1 [Selscheid] *
1 [Sports in Wiltz] *
1 [Symbols of Wiltz] *
1 [Tutschemillen] *
1 [Église Saints-Pierre-et-Paul Niederwiltz] *
1 [Former Windmill Niederwiltz] *
1 [Parc éolien de Roullingen - Goesdorf] *
1 [Église Saint-Amand, Selscheid]
)
= 1
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
20
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
12.67%
(1.16 × 1016 overall)
Dominant nodes (excluded from chart)Bethlehem 16.04%Moritz Neuner 16.04%Niklas Kvarforth 16.04%Matron Thorn 12.67%Niklas Olsson 12.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Jul 22, 2:14 PM
Wiltz, Canton Wiltz, Luxembourg
28
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