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, 14) = 14
$outbound = max(1, 16) = 16
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 14 * 16 = 224
Base_Influence (IV) = $inbound / $outbound = 14 / 16 = 0.875
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 224 *
( 3 [Bas-Rhin] *
2 [French Wars of Religion] *
2 [Haut-Rhin] *
9 [Alsace] *
1 [Aquitaine] *
1 [Auvergne] *
1 [Champagne-Ardenne] *
1 [Languedoc-Roussillon] *
1 [Limousin] *
1 [Lorraine] *
1 [Lower Normandy] *
1 [Midi-Pyrénées] *
1 [Picardy] *
1 [Poitou-Charentes] *
1 [Rhône-Alpes] *
1 [Upper Normandy] *
1 [French Republic] *
1 [Folklore of France]
)
= 24.2K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.875 *
( 3 [Bas-Rhin] *
2 [French Wars of Religion] *
2 [Haut-Rhin] *
1 [Alsace] *
1 [Aquitaine] *
1 [Auvergne] *
1 [Champagne-Ardenne] *
1 [Languedoc-Roussillon] *
1 [Limousin] *
1 [Lorraine] *
1 [Lower Normandy] *
1 [Midi-Pyrénées] *
1 [Picardy] *
1 [Poitou-Charentes] *
1 [Rhône-Alpes] *
1 [Upper Normandy] *
1 [French Republic] *
1 [Folklore of France]
)
= 10.5
Outbound
14
Tags on post
Inbound
16
Posts tagging this
Connections
18
Total nodes
Base Node Strength
224
Base Node Influence
0.875
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)