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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 12 [Rebecca Romijn] *
1 [Christian St. John] *
1 [Mazzi Rawd] *
1 [Bill D'Angelo] *
256 [Vixen] *
1 [and Jan Kuehnemund] *
4 [Janet Gardner] *
1 [Share Ross] *
9 [Roxy Petrucci] *
1 [Britt Lightning] *
1 [Gina Stile] *
4 [Jan Kuehnemund] *
4 [Jenna Sanz Agero] *
1 [Kathrin Kraft] *
1 [Liza Carbe] *
1 [Lynn Louise Lowrey] *
1 [Maxine Petrucci] *
1 [Nancy Shanks] *
1 [Pat Holloway] *
1 [Pia Vai] *
20 [Femme Fatale]
)
= 141.56M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Rebecca Romijn] *
1 [Christian St. John] *
1 [Mazzi Rawd] *
1 [Bill D'Angelo] *
1 [Vixen] *
1 [and Jan Kuehnemund] *
1 [Janet Gardner] *
1 [Share Ross] *
1 [Roxy Petrucci] *
1 [Britt Lightning] *
1 [Gina Stile] *
1 [Jan Kuehnemund] *
1 [Jenna Sanz Agero] *
1 [Kathrin Kraft] *
1 [Liza Carbe] *
1 [Lynn Louise Lowrey] *
1 [Maxine Petrucci] *
1 [Nancy Shanks] *
1 [Pat Holloway] *
1 [Pia Vai] *
0.8 [Femme Fatale]
)
= 1.07
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Vixen 78.29%Femme Fatale 6.12%Rebecca Romijn 3.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)