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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 324 [Collegium 1704] *
4 [Andreas Torgersen] *
1 [Astrid Brachtendorf] *
1 [Cecilie Valtrova] *
1 [Eckhard Lenzing] *
1 [Eric Le Chartier] *
1 [Friedemann Ramsenthaler] *
1 [Hans Martin Rux] *
1 [Iveta Schwarzowa] *
4 [Anneke Scott] *
1 [Adela Drechsel] *
1 [Albert Marigo] *
1 [Bohumil TÅ ̄ma] *
1 [Christine Foidl] *
1 [Dominik DÄbski] *
1 [Dorian Wetzel] *
1 [Györgyi Farkas] *
6 [Caroline Kersten]
)
= 31.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Collegium 1704] *
1 [Andreas Torgersen] *
1 [Astrid Brachtendorf] *
1 [Cecilie Valtrova] *
1 [Eckhard Lenzing] *
1 [Eric Le Chartier] *
1 [Friedemann Ramsenthaler] *
1 [Hans Martin Rux] *
1 [Iveta Schwarzowa] *
1 [Anneke Scott] *
1 [Adela Drechsel] *
1 [Albert Marigo] *
1 [Bohumil TÅ ̄ma] *
1 [Christine Foidl] *
1 [Dominik DÄbski] *
1 [Dorian Wetzel] *
1 [Györgyi Farkas] *
0.6667 [Caroline Kersten]
)
= 0.6667
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Collegium 1704 91.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)