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 *
( 12 [Alix Wilton Regan] *
12 [Johan Widerberg] *
25 [wineport] *
4 [The Restaurant] *
36 [Glenn Close] *
25 [Jonathan Pryce] *
289 [The Wife] *
36 [Christian Slater] *
4 [Elizabeth McGovern] *
4 [Richard Cordery] *
16 [Annie Starke] *
1 [Fredric Gildea] *
9 [Harry Lloyd] *
16 [Jan Mybrand] *
1 [Jane Garda] *
1 [Nick Fletcher] *
1 [Peter Forbes] *
1 [Anna Azcárate] *
1 [Karin Franz Körlof] *
1 [Vi i villa]
)
= 4.47 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Alix Wilton Regan] *
1.33 [Johan Widerberg] *
1 [wineport] *
1 [The Restaurant] *
1 [Glenn Close] *
1 [Jonathan Pryce] *
1 [The Wife] *
1 [Christian Slater] *
1 [Elizabeth McGovern] *
1 [Richard Cordery] *
1 [Annie Starke] *
1 [Fredric Gildea] *
1 [Harry Lloyd] *
1 [Jan Mybrand] *
1 [Jane Garda] *
1 [Nick Fletcher] *
1 [Peter Forbes] *
1 [Anna Azcárate] *
1 [Karin Franz Körlof] *
1 [Vi i villa]
)
= 1.78
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)
1.79%
(4.47 × 1016 overall)
Dominant nodes (excluded from chart)The Wife 57.34%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)