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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 12 [Martin of Tours] *
1 [Martin de Tour] *
1 [Château de Saumur dans les arts] *
1 [Château de Saumur in Médiathèque de l'architecture et du patrimoine] *
1 [Intérieur du Château de Saumur] *
1 [Models of Château de Saumur] *
1 [Photographies anciennes du château de Saumur] *
6 [Martin de Tour, château-musée de Saumur]
)
= 2.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Martin of Tours] *
1 [Martin de Tour] *
1 [Château de Saumur dans les arts] *
1 [Château de Saumur in Médiathèque de l'architecture et du patrimoine] *
1 [Intérieur du Château de Saumur] *
1 [Models of Château de Saumur] *
1 [Photographies anciennes du château de Saumur] *
0.6667 [Martin de Tour, château-musée de Saumur]
)
= 0.8889
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
8
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Martin of Tours 20.00%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)