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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 20 [Allyn Ann McLerie] *
72 [Deadwood, South Dakota] *
100 [Team Dresch] *
9 [Apr 20 1996 Bikini Kill] *
49 [Donna Dresch] *
4 [Marcéo Martinez] *
1 [Kaia Wilson] *
9 [Jody Bleyle] *
1 [Amanda Kelly] *
4 [Scott Plouf] *
1 [Tamala Poljak] *
49 [melissa-york] *
49 [Joanna Bolme] *
4 [Gilly Ann Hanner] *
1 [Lisa Koenig] *
1 [Marci Beesecker] *
1 [Megan Hanner] *
56 [Calamity Jane]
)
= 1.97 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Allyn Ann McLerie] *
1.13 [Deadwood, South Dakota] *
1 [Team Dresch] *
1 [Apr 20 1996 Bikini Kill] *
1 [Donna Dresch] *
1 [Marcéo Martinez] *
1 [Kaia Wilson] *
1 [Jody Bleyle] *
1 [Amanda Kelly] *
1 [Scott Plouf] *
1 [Tamala Poljak] *
1 [melissa-york] *
1 [Joanna Bolme] *
1 [Gilly Ann Hanner] *
1 [Lisa Koenig] *
1 [Marci Beesecker] *
1 [Megan Hanner] *
0.875 [Calamity Jane]
)
= 1.23
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
18
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.92%
(1.97 × 1016 overall)
Dominant nodes (excluded from chart)Team Dresch 22.99%Deadwood, South Dakota 16.55%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)