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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 256 [Vixen] *
1 [and Jan Kuehnemund] *
4 [Janet Gardner] *
1 [Share Ross] *
4 [Lorraine Lewis] *
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] *
9 [Madam X (3)] *
16 [Vixen (2)] *
25 [Shawn Duncan] *
81 [Sebastian Bach]
)
= 171.99B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Vixen] *
1 [and Jan Kuehnemund] *
1 [Janet Gardner] *
1 [Share Ross] *
1 [Lorraine Lewis] *
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] *
1 [Madam X (3)] *
1 [Vixen (2)] *
1 [Shawn Duncan] *
1 [Sebastian Bach]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Vixen 60.52%Sebastian Bach 19.15%Shawn Duncan 5.91%Vixen (2) 3.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
