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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 120 [meter] *
42 [hôtel de Bourvallais] *
1 [65 mm] *
1 [Cubic metre] *
1 [Disc golf hole signs with length in metres] *
1 [Kilometre] *
4 [Mètre étalon, rue de Vaugirard] *
1 [Metre Convention] *
1 [Metre symbol] *
16 [Mètre étalon] *
1 [Courtyard of the Hôtel de Bourvallais] *
1 [Garden of the Hôtel de Bourvallais] *
1 [Interior of Hôtel de Bourvallais]
)
= 2.9M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.2 [meter] *
1.17 [hôtel de Bourvallais] *
1 [65 mm] *
1 [Cubic metre] *
1 [Disc golf hole signs with length in metres] *
1 [Kilometre] *
1 [Mètre étalon, rue de Vaugirard] *
1 [Metre Convention] *
1 [Metre symbol] *
1 [Mètre étalon] *
1 [Courtyard of the Hôtel de Bourvallais] *
1 [Garden of the Hôtel de Bourvallais] *
1 [Interior of Hôtel de Bourvallais]
)
= 1.4
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
13
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)meter 60.00%hôtel de Bourvallais 21.00%Mètre étalon 8.00%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)