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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 4 [Michael Mayer] *
9 [Michael Cunningham] *
64 [Robin Wright] *
289 [A Home at the End of the World] *
1 [Andrew Chalmers] *
1 [Asia Vieira] *
25 [Barna Moricz] *
16 [Dallas Roberts] *
1 [Erik Smith] *
1 [Harris Allan] *
1 [Jeff J.J. Authors] *
1 [Lisa Merchant] *
9 [Matt Frewer] *
1 [Quancetia Hamilton] *
25 [Ron Lea] *
25 [Ryan Donowho] *
1 [Shawn Roberts] *
9 [Sailor Moon] *
16 [Emi Shinohara] *
16 [Masako Katsuki]
)
= 1.38 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Michael Mayer] *
1 [Michael Cunningham] *
1 [Robin Wright] *
1 [A Home at the End of the World] *
1 [Andrew Chalmers] *
1 [Asia Vieira] *
1 [Barna Moricz] *
1 [Dallas Roberts] *
1 [Erik Smith] *
1 [Harris Allan] *
1 [Jeff J.J. Authors] *
1 [Lisa Merchant] *
1 [Matt Frewer] *
1 [Quancetia Hamilton] *
1 [Ron Lea] *
1 [Ryan Donowho] *
1 [Shawn Roberts] *
1 [Sailor Moon] *
1 [Emi Shinohara] *
1 [Masako Katsuki]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.77%
(1.38 × 1016 overall)
Dominant nodes (excluded from chart)A Home at the End of the World 55.68%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)