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, 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 57 direct neighbours)
Network_Strength (CV) = Base_PV * (Π Neighbour_PVs) = 1.43 × 1039
Network_Influence (TV) = Base_IV * (Π Neighbour_IVs) = 13821451171.289
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
57
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.03%
(1.43 × 1039 overall)
Dominant nodes (excluded from chart)Il Fondamento 81.61%Marnix De Cat 3.92%Alain De Rijckere 2.49%Guy Penson 2.26%Roel Dieltiens 1.23%Marcel Ketels 1.06%Dirk Snellings 0.75%Frank Theuns 0.63%Paul Dombrecht 0.63%Robert Kohnen 0.63%Jan Caals 0.50%Thomas Luks 0.50%
Influence Share (vs Direct Neighbours)
1.10%
(13821451171.289 overall)
Connected Network Hierarchy
Connection Health Audit (Red = broken 1-way link)
Last calculated: May 21, 3:28 AM
21
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